{"id":"https://openalex.org/W3135243128","doi":"https://doi.org/10.1109/tcbb.2021.3065361","title":"Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images","display_name":"Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images","publication_year":2021,"publication_date":"2021-03-11","ids":{"openalex":"https://openalex.org/W3135243128","doi":"https://doi.org/10.1109/tcbb.2021.3065361","mag":"3135243128","pmid":"https://pubmed.ncbi.nlm.nih.gov/33705321"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2021.3065361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3065361","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8851430","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100631937","display_name":"Ying Song","orcid":"https://orcid.org/0000-0002-4685-7267"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210112812","display_name":"National Supercomputing Center in Shenzhen","ror":"https://ror.org/02291hh73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112812"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Song","raw_affiliation_strings":["National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China","School of Systems Sciences and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210112812","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Systems Sciences and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075817762","display_name":"Shuangjia Zheng","orcid":"https://orcid.org/0000-0001-9747-4285"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210112812","display_name":"National Supercomputing Center in Shenzhen","ror":"https://ror.org/02291hh73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112812"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangjia Zheng","raw_affiliation_strings":["National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210112812","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420617","display_name":"Liang Li","orcid":"https://orcid.org/0000-0001-5648-724X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210140357","display_name":"Renmin Hospital of Wuhan University","ror":"https://ror.org/03ekhbz91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Li","raw_affiliation_strings":["Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210140357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368866","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-5234-9410"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]},{"id":"https://openalex.org/I4210146956","display_name":"Third Affiliated Hospital of Sun Yat-sen University","ror":"https://ror.org/04tm3k558","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China","Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]},{"raw_affiliation_string":"Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210146956","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376204","display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0000-0002-4635-9372"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]},{"id":"https://openalex.org/I4210146956","display_name":"Third Affiliated Hospital of Sun Yat-sen University","ror":"https://ror.org/04tm3k558","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China","Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]},{"raw_affiliation_string":"Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210146956","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052754576","display_name":"Ziwang Huang","orcid":"https://orcid.org/0000-0001-9319-6310"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwang Huang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689463","display_name":"Jianwen Chen","orcid":"https://orcid.org/0000-0001-7999-2070"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210112812","display_name":"National Supercomputing Center in Shenzhen","ror":"https://ror.org/02291hh73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112812"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Chen","raw_affiliation_strings":["National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210112812","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707149","display_name":"Ruixuan Wang","orcid":"https://orcid.org/0000-0002-8714-0369"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixuan Wang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076568855","display_name":"Huiying Zhao","orcid":"https://orcid.org/0000-0001-9429-3016"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiying Zhao","raw_affiliation_strings":["Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008182583","display_name":"Yutian Chong","orcid":"https://orcid.org/0000-0001-8215-4393"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146956","display_name":"Third Affiliated Hospital of Sun Yat-sen University","ror":"https://ror.org/04tm3k558","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutian Chong","raw_affiliation_strings":["Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210146956","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032104899","display_name":"Jun Shen","orcid":"https://orcid.org/0000-0001-7746-5285"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shen","raw_affiliation_strings":["Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006317619","display_name":"Yunfei Zha","orcid":"https://orcid.org/0000-0002-8714-7472"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210140357","display_name":"Renmin Hospital of Wuhan University","ror":"https://ror.org/03ekhbz91","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zha","raw_affiliation_strings":["Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210140357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023539493","display_name":"Yuedong Yang","orcid":"https://orcid.org/0000-0002-6782-2813"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210112812","display_name":"National Supercomputing Center in Shenzhen","ror":"https://ror.org/02291hh73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112812"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuedong Yang","raw_affiliation_strings":["National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputer Center in Guangzhou, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I4210112812","https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5100631937"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210112812"],"apc_list":null,"apc_paid":null,"fwci":94.1399,"has_fulltext":false,"cited_by_count":835,"citation_normalized_percentile":{"value":0.99985253,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":"6","first_page":"2775","last_page":"2780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.817826509475708},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.732491672039032},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.7162365913391113},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5487443208694458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5310723185539246},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5229640603065491},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.5081596374511719},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4460608661174774},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.43179312348365784},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.4207629859447479},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3299219608306885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.290583997964859},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.21519947052001953},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20518776774406433}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.817826509475708},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.732491672039032},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.7162365913391113},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.5487443208694458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5310723185539246},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5229640603065491},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.5081596374511719},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4460608661174774},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.43179312348365784},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.4207629859447479},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3299219608306885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.290583997964859},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.21519947052001953},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20518776774406433},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003937","descriptor_name":"Diagnosis, Differential","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003937","descriptor_name":"Diagnosis, Differential","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003937","descriptor_name":"Diagnosis, Differential","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018410","descriptor_name":"Pneumonia, Bacterial","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D018410","descriptor_name":"Pneumonia, Bacterial","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D018410","descriptor_name":"Pneumonia, Bacterial","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D018410","descriptor_name":"Pneumonia, Bacterial","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D018410","descriptor_name":"Pneumonia, Bacterial","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D018410","descriptor_name":"Pneumonia, Bacterial","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tcbb.2021.3065361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3065361","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:33705321","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33705321","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8851430","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8851430","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/ACM Trans Comput Biol Bioinform","raw_type":"Text"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/403572","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/403572","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8851430","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8851430","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE/ACM Trans Comput Biol Bioinform","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1051660574","display_name":null,"funder_award_id":"2019A151","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1619931070","display_name":null,"funder_award_id":"U1611261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1668297981","display_name":null,"funder_award_id":"51501220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2394680817","display_name":null,"funder_award_id":"81871332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2602136225","display_name":null,"funder_award_id":"2018B01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3787295669","display_name":null,"funder_award_id":"8180113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4285831925","display_name":null,"funder_award_id":"81801132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4522343100","display_name":null,"funder_award_id":"2019A1515012207","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5108781970","display_name":null,"funder_award_id":"61772566","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994494637","display_name":null,"funder_award_id":"and 81","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6069953956","display_name":null,"funder_award_id":"2018B0101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6346021793","display_name":null,"funder_award_id":"2019B020228001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7543324836","display_name":null,"funder_award_id":"2019A15150","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7805673637","display_name":null,"funder_award_id":"2018YFC1315405","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G986125596","display_name":null,"funder_award_id":"2019A15150122","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1563795667","https://openalex.org/W1686810756","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2579318141","https://openalex.org/W2737725206","https://openalex.org/W2765268259","https://openalex.org/W2891951760","https://openalex.org/W2954104052","https://openalex.org/W2962858109","https://openalex.org/W2963311325","https://openalex.org/W2964031179","https://openalex.org/W2970105478","https://openalex.org/W2976398475","https://openalex.org/W2999409984","https://openalex.org/W3001118548","https://openalex.org/W3001897055","https://openalex.org/W3003637715","https://openalex.org/W3003668884","https://openalex.org/W3003901880","https://openalex.org/W3004318991","https://openalex.org/W3004511262","https://openalex.org/W3004668429","https://openalex.org/W3157685993","https://openalex.org/W6633802082","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6745202346"],"related_works":["https://openalex.org/W2373635223","https://openalex.org/W2412355096","https://openalex.org/W2431766951","https://openalex.org/W1990012352","https://openalex.org/W127458931","https://openalex.org/W4385969441","https://openalex.org/W2362266265","https://openalex.org/W2058284656","https://openalex.org/W3028429280","https://openalex.org/W3096227606"],"abstract_inverted_index":{"A":[0],"novel":[1],"coronavirus":[2],"(COVID-19)":[3],"recently":[4],"emerged":[5],"as":[6],"an":[7,44,128],"acute":[8],"respiratory":[9],"syndrome,":[10],"and":[11,84,90,136,203],"has":[12,31],"caused":[13],"a":[14,96,150],"pneumonia":[15,125],"outbreak":[16],"world-widely.":[17],"As":[18],"the":[19,26,94,119,123,173],"COVID-19":[20,70,120,160],"continues":[21],"to":[22,42,48,51,104],"spread":[23],"rapidly":[24],"across":[25],"world,":[27],"computed":[28],"tomography":[29],"(CT)":[30],"become":[32],"essentially":[33],"important":[34],"for":[35,88,158,181,191],"fast":[36],"diagnoses.":[37],"Thus,":[38],"it":[39],"is":[40,189],"urgent":[41],"develop":[43],"accurate":[45],"computer-aided":[46],"method":[47],"assist":[49],"clinicians":[50],"identify":[52,105],"COVID-19-infected":[53],"patients":[54,67,79,106,121,126,161],"by":[55,184,197],"CT":[56,63,99,145,195],"images.":[57],"Here,":[58],"we":[59],"have":[60],"collected":[61],"chest":[62],"scans":[64],"of":[65,73,130,134,138,144,152,156],"88":[66],"diagnosed":[68],"with":[69,81,107,127,154,194],"from":[71,122,162],"hospitals":[72],"two":[74],"provinces":[75],"in":[76],"China,":[77],"100":[78],"infected":[80],"bacteria":[82,124],"pneumonia,":[83],"86":[85],"healthy":[86],"persons":[87],"comparison":[89],"modeling.":[91],"Based":[92],"on":[93],"data,":[95],"deep":[97],"learning-based":[98],"diagnosis":[100],"system":[101],"was":[102],"developed":[103],"COVID-19.":[108],"The":[109],"experimental":[110],"results":[111],"showed":[112],"that":[113],"our":[114,147,165,198,208],"model":[115,148,166],"could":[116,167],"accurately":[117],"discriminate":[118],"AUC":[129],"0.95,":[131],"recall":[132,151],"(sensitivity)":[133],"0.96,":[135],"precision":[137,155],"0.79.":[139],"When":[140],"integrating":[141],"three":[142],"types":[143],"images,":[146],"achieved":[149],"0.93":[153],"0.86":[157],"discriminating":[159],"others.":[163],"Moreover,":[164],"extract":[168],"main":[169],"lesion":[170],"features,":[171],"especially":[172],"ground-glass":[174],"opacity":[175],"(GGO),":[176],"which":[177],"are":[178,205],"visually":[179],"helpful":[180],"assisted":[182],"diagnoses":[183,193],"doctors.":[185],"An":[186],"online":[187,192],"server":[188,199],"available":[190,206],"images":[196],"(http://biomed.nscc-gz.cn/model.php).":[200],"Source":[201],"codes":[202],"datasets":[204],"at":[207],"GitHub":[209],"(https://github.com/SY575/COVID19-CT).":[210]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":74},{"year":2023,"cited_by_count":148},{"year":2022,"cited_by_count":203},{"year":2021,"cited_by_count":251},{"year":2020,"cited_by_count":111}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
