{"id":"https://openalex.org/W3165176148","doi":"https://doi.org/10.1109/jbhi.2021.3082527","title":"Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19","display_name":"Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3165176148","doi":"https://doi.org/10.1109/jbhi.2021.3082527","mag":"3165176148","pmid":"https://pubmed.ncbi.nlm.nih.gov/34033549"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3082527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3082527","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/8545076","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070575756","display_name":"Titinunt Kitrungrotsakul","orcid":"https://orcid.org/0000-0001-7254-1787"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Titinunt Kitrungrotsakul","raw_affiliation_strings":["Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7254-1787","affiliations":[{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738365","display_name":"Qingqing Chen","orcid":"https://orcid.org/0000-0003-2268-1938"},"institutions":[{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqing Chen","raw_affiliation_strings":["Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2268-1938","affiliations":[{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I2802390878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102023611","display_name":"Huitao Wu","orcid":"https://orcid.org/0000-0002-5915-5117"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huitao Wu","raw_affiliation_strings":["Intelligent Healthcare Team, Baidu Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5915-5117","affiliations":[{"raw_affiliation_string":"Intelligent Healthcare Team, Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010434486","display_name":"Yutaro Iwamoto","orcid":"https://orcid.org/0000-0001-6723-8652"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaro Iwamoto","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6723-8652","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057452864","display_name":"Hongjie Hu","orcid":"https://orcid.org/0000-0002-9859-5860"},"institutions":[{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjie Hu","raw_affiliation_strings":["Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I2802390878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101616540","display_name":"Wenchao Zhu","orcid":"https://orcid.org/0009-0001-2639-6643"},"institutions":[{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Zhu","raw_affiliation_strings":["Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I2802390878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408295","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0001-5462-5725"},"institutions":[{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I2802390878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067167195","display_name":"Fangyi Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyi Xu","raw_affiliation_strings":["Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I2802390878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101535929","display_name":"Yong Zhou","orcid":"https://orcid.org/0000-0001-5221-8026"},"institutions":[{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhou","raw_affiliation_strings":["Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I2802390878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090814258","display_name":"Lanfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfen Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4098-588X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057181928","display_name":"Ruofeng Tong","orcid":"https://orcid.org/0000-0002-8167-5354"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofeng Tong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8167-5354","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023138112","display_name":"Jingsong Li","orcid":"https://orcid.org/0000-0002-1064-637X"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsong Li","raw_affiliation_strings":["College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China","Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1064-637X","affiliations":[{"raw_affiliation_string":"College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]},{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5952-0188","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9382,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94210954,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"7","first_page":"2363","last_page":"2373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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":1.0,"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":0.9778000116348267,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/segmentation","display_name":"Segmentation","score":0.8577207326889038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7570161819458008},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6295148134231567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6167187690734863},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5741718411445618},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46417757868766785},{"id":"https://openalex.org/keywords/unavailability","display_name":"Unavailability","score":0.4496968388557434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3881830871105194},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32455748319625854},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15077424049377441},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.08636483550071716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07984223961830139},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.0734221339225769}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8577207326889038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570161819458008},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6295148134231567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6167187690734863},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5741718411445618},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46417757868766785},{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.4496968388557434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3881830871105194},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32455748319625854},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15077424049377441},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.08636483550071716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07984223961830139},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0734221339225769},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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":"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":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2021.3082527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3082527","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:34033549","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34033549","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8545076","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8545076","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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 J Biomed Health Inform","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8545076","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8545076","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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 J Biomed Health Inform","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G4286904893","display_name":null,"funder_award_id":"2020XGZX051","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G446161779","display_name":null,"funder_award_id":"2020M671826","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G476232292","display_name":null,"funder_award_id":"2020ND8AD01","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G6421466180","display_name":"\u5f31\u6559\u5e2b\u6df1\u5c64\u5b66\u7fd2\u3068\u8a08\u7b97\u89e3\u5256\u30e2\u30c7\u30eb\u306e\u7d71\u5408\u306b\u3088\u308b\u809d\u81d3\u304c\u3093\u306e\u8a3a\u65ad\u652f\u63f4","funder_award_id":"20KK0234","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7138821781","display_name":null,"funder_award_id":"R44 AA012018","funder_id":"https://openalex.org/F4320337330","funder_display_name":"National Institute on Alcohol Abuse and Alcoholism"},{"id":"https://openalex.org/G7190208866","display_name":"Lightweight 3D Deep Learning Network for Computer-Aided Diagnosis  of Liver Lesions","funder_award_id":"20K21821","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320337330","display_name":"National Institute on Alcohol Abuse and Alcoholism","ror":"https://ror.org/02jzrsm59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1546411676","https://openalex.org/W1590367972","https://openalex.org/W1846543079","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2049503784","https://openalex.org/W2050132071","https://openalex.org/W2096579040","https://openalex.org/W2119300483","https://openalex.org/W2125916419","https://openalex.org/W2194775991","https://openalex.org/W2229331245","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2464708700","https://openalex.org/W2560023338","https://openalex.org/W2604075400","https://openalex.org/W2608631154","https://openalex.org/W2732931556","https://openalex.org/W2769833683","https://openalex.org/W2798122215","https://openalex.org/W2801609445","https://openalex.org/W2805957987","https://openalex.org/W2884436604","https://openalex.org/W2884555738","https://openalex.org/W2889147523","https://openalex.org/W2889598057","https://openalex.org/W2962767316","https://openalex.org/W2962914239","https://openalex.org/W3005879071","https://openalex.org/W3006643024","https://openalex.org/W3007238890","https://openalex.org/W3008827533","https://openalex.org/W3010149441","https://openalex.org/W3010223921","https://openalex.org/W3010313912","https://openalex.org/W3011041531","https://openalex.org/W3012817089","https://openalex.org/W3014725478","https://openalex.org/W3014974815","https://openalex.org/W3015141576","https://openalex.org/W3015388942","https://openalex.org/W3015788359","https://openalex.org/W3016052689","https://openalex.org/W3017116151","https://openalex.org/W3017424432","https://openalex.org/W3019336217","https://openalex.org/W3022592783","https://openalex.org/W3027763298","https://openalex.org/W3036688711","https://openalex.org/W3038118331","https://openalex.org/W3042107527","https://openalex.org/W3043689539","https://openalex.org/W3078820319","https://openalex.org/W3096956107","https://openalex.org/W3104810384","https://openalex.org/W3107214063","https://openalex.org/W3109192382","https://openalex.org/W3112701542","https://openalex.org/W3133191822","https://openalex.org/W3137524552","https://openalex.org/W3208176997","https://openalex.org/W6632670727","https://openalex.org/W6635271169","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6718752587","https://openalex.org/W6737221692","https://openalex.org/W6750469568","https://openalex.org/W6773675225","https://openalex.org/W6774662769","https://openalex.org/W6774807847","https://openalex.org/W6776016231","https://openalex.org/W6780178431","https://openalex.org/W6780345419","https://openalex.org/W6802995864"],"related_works":["https://openalex.org/W4237235066","https://openalex.org/W2026539069","https://openalex.org/W207884067","https://openalex.org/W3127016596","https://openalex.org/W2365973415","https://openalex.org/W1482423459","https://openalex.org/W2996457675","https://openalex.org/W3146085540","https://openalex.org/W2129918226","https://openalex.org/W1522196789"],"abstract_inverted_index":{"COVID-19":[0,41,53,75,88,98],"pneumonia":[1],"is":[2,63],"a":[3,134,151],"disease":[4],"that":[5],"causes":[6],"an":[7,103,129],"existential":[8],"health":[9],"crisis":[10],"in":[11,128,144],"many":[12],"people":[13],"by":[14],"directly":[15],"affecting":[16],"and":[17,36,55,81,84,89,122,147,150,176,178],"damaging":[18],"lung":[19],"cells.":[20],"The":[21,110,164,183,205],"segmentation":[22,47,54,61,95,120,126,146,184,212],"of":[23,74,97,166,197],"infected":[24,76,99],"areas":[25,77],"from":[26],"computed":[27],"tomography":[28],"(CT)":[29],"images":[30],"can":[31,115,208],"be":[32,116],"used":[33],"to":[34,71,139,155,188],"assist":[35],"provide":[37],"useful":[38],"information":[39],"for":[40,52,161],"diagnosis.":[42],"Although":[43],"several":[44],"deep":[45],"learning-based":[46],"methods":[48],"have":[49,56],"been":[50],"proposed":[51,168,199,206],"achieved":[57],"state-of-the-art":[58],"results,":[59],"the":[60,72,85,94,125,141,157,167,195,198],"accuracy":[62,96,185],"still":[64,209],"not":[65],"high":[66,211],"enough":[67],"(approximately":[68],"85%)":[69],"due":[70],"variations":[73],"(such":[78],"as":[79],"shape":[80],"size":[82],"variations)":[83],"similarities":[86],"between":[87],"non-COVID-infected":[90],"areas.":[91],"To":[92],"improve":[93,140],"areas,":[100],"we":[101],"propose":[102,133],"interactive":[104,111,162],"attention":[105,112,137],"refinement":[106,113,148],"network":[107,114,121,127,200],"(Attention":[108],"RefNet).":[109],"connected":[117],"with":[118,124],"any":[119],"trained":[123],"end-to-end":[130],"fashion.":[131],"We":[132,192],"skip":[135],"connection":[136],"module":[138,154],"important":[142,158],"features":[143],"both":[145],"networks":[149],"seed":[152],"point":[153],"enhance":[156],"seeds":[159],"(positions)":[160],"refinement.":[163],"effectiveness":[165],"method":[169,207],"was":[170,186],"demonstrated":[171],"on":[172,201],"public":[173],"datasets":[174],"(COVID-19CTSeg":[175],"MICCAI)":[177],"our":[179,202],"private":[180],"multicenter":[181,203],"dataset.":[182,204],"improved":[187],"more":[189],"than":[190],"90%.":[191],"also":[193],"confirmed":[194],"generalizability":[196],"achieve":[210],"accuracy.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
