{"id":"https://openalex.org/W3090614604","doi":"https://doi.org/10.1109/access.2020.3027738","title":"MSD-Net: Multi-Scale Discriminative Network for COVID-19 Lung Infection Segmentation on CT","display_name":"MSD-Net: Multi-Scale Discriminative Network for COVID-19 Lung Infection Segmentation on CT","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3090614604","doi":"https://doi.org/10.1109/access.2020.3027738","mag":"3090614604","pmid":"https://pubmed.ncbi.nlm.nih.gov/34812359"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3027738","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027738","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09208691.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09208691.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101650994","display_name":"Bingbing Zheng","orcid":"https://orcid.org/0000-0002-7174-474X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Zheng","raw_affiliation_strings":["School of Information Science and EngineeringEast China University of Science and Technology Shanghai 200237 China","School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7174-474X","affiliations":[{"raw_affiliation_string":"School of Information Science and EngineeringEast China University of Science and Technology Shanghai 200237 China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056974432","display_name":"Yaoqi Liu","orcid":"https://orcid.org/0000-0002-9523-9852"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I4210116869","display_name":"Affiliated Hospital of Qingdao University","ror":"https://ror.org/026e9yy16","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoqi Liu","raw_affiliation_strings":["The Affiliated Hospital of Qingdao University Qingdao 266000 China","The Affiliated Hospital of Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-9523-9852","affiliations":[{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University Qingdao 266000 China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]},{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673751","display_name":"Yu Zhu","orcid":"https://orcid.org/0000-0003-1535-6520"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["School of Information Science and EngineeringEast China University of Science and Technology Shanghai 200237 China","School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1535-6520","affiliations":[{"raw_affiliation_string":"School of Information Science and EngineeringEast China University of Science and Technology Shanghai 200237 China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008005425","display_name":"Fuli Yu","orcid":"https://orcid.org/0000-0001-5878-8863"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuli Yu","raw_affiliation_strings":["School of Information Science and EngineeringEast China University of Science and Technology Shanghai 200237 China","School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5878-8863","affiliations":[{"raw_affiliation_string":"School of Information Science and EngineeringEast China University of Science and Technology Shanghai 200237 China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103068528","display_name":"Tianjiao Jiang","orcid":"https://orcid.org/0000-0001-6033-430X"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I4210116869","display_name":"Affiliated Hospital of Qingdao University","ror":"https://ror.org/026e9yy16","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjiao Jiang","raw_affiliation_strings":["The Affiliated Hospital of Qingdao University Qingdao 266000 China","The Affiliated Hospital of Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-6033-430X","affiliations":[{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University Qingdao 266000 China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]},{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013740618","display_name":"Dawei Yang","orcid":"https://orcid.org/0000-0002-8928-143X"},"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/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210127074","display_name":"Zhongshan Hospital","ror":"https://ror.org/032x22645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210127074"]},{"id":"https://openalex.org/I4210127126","display_name":"Shanghai Pulmonary Hospital","ror":"https://ror.org/033nbnf69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210127126"]},{"id":"https://openalex.org/I4210128921","display_name":"The First Affiliated Hospital, Sun Yat-sen University","ror":"https://ror.org/037p24858","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Yang","raw_affiliation_strings":["Department of Pulmonary MedicineZhongshan HospitalFudan University Shanghai 200032 China","Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8928-143X","affiliations":[{"raw_affiliation_string":"Department of Pulmonary MedicineZhongshan HospitalFudan University Shanghai 200032 China","institution_ids":["https://openalex.org/I4210127126"]},{"raw_affiliation_string":"Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I24943067","https://openalex.org/I4210127074","https://openalex.org/I4210128921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621907","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0001-7544-0551"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I4210116869","display_name":"Affiliated Hospital of Qingdao University","ror":"https://ror.org/026e9yy16","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["The Affiliated Hospital of Qingdao University Qingdao 266000 China","The Affiliated Hospital of Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7544-0551","affiliations":[{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University Qingdao 266000 China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]},{"raw_affiliation_string":"The Affiliated Hospital of Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210116869"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.6391,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96302376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"185786","last_page":"185795"},"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":0.9868999719619751,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6564797759056091},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6015926599502563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586306095123291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853622555732727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.583523690700531},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5812329649925232},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43266865611076355},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4291272759437561},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4200507402420044},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41241899132728577},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2281665802001953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21781128644943237},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17230290174484253},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.16880637407302856},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1532725691795349},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.09213539958000183}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6564797759056091},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6015926599502563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586306095123291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853622555732727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.583523690700531},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5812329649925232},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43266865611076355},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4291272759437561},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4200507402420044},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41241899132728577},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2281665802001953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21781128644943237},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17230290174484253},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.16880637407302856},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1532725691795349},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.09213539958000183},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2020.3027738","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027738","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09208691.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmid:34812359","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34812359","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 access : practical innovations, open solutions","raw_type":null},{"id":"pmh:oai:doaj.org/article:149de4efe3a747fb8f42dfe1b43357e0","is_oa":true,"landing_page_url":"https://doaj.org/article/149de4efe3a747fb8f42dfe1b43357e0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 185786-185795 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8545278","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8545278","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3027738","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027738","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09208691.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090614604.pdf","grobid_xml":"https://content.openalex.org/works/W3090614604.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2106033751","https://openalex.org/W2194775991","https://openalex.org/W2322371438","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2419448466","https://openalex.org/W2464708700","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2798122215","https://openalex.org/W2884436604","https://openalex.org/W2884561390","https://openalex.org/W2884585870","https://openalex.org/W2898910301","https://openalex.org/W2962914239","https://openalex.org/W2963046541","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W2970971581","https://openalex.org/W2996147094","https://openalex.org/W3001118548","https://openalex.org/W3001897055","https://openalex.org/W3002539152","https://openalex.org/W3003901880","https://openalex.org/W3003985864","https://openalex.org/W3005879071","https://openalex.org/W3008443627","https://openalex.org/W3008801544","https://openalex.org/W3011041531","https://openalex.org/W3015836412","https://openalex.org/W3016912206","https://openalex.org/W3020036043","https://openalex.org/W3021654843","https://openalex.org/W3024801014","https://openalex.org/W3027763298","https://openalex.org/W3028070348","https://openalex.org/W3033272814","https://openalex.org/W3035119815","https://openalex.org/W3036688711","https://openalex.org/W3092624683","https://openalex.org/W3133191822","https://openalex.org/W4293406525","https://openalex.org/W4295312788","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6717372056","https://openalex.org/W6750469568","https://openalex.org/W6753412334","https://openalex.org/W6755875945","https://openalex.org/W6766978945","https://openalex.org/W6771572273","https://openalex.org/W6773675225","https://openalex.org/W6774807847","https://openalex.org/W6776305181"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115","https://openalex.org/W2901057123"],"abstract_inverted_index":{"Since":[0],"the":[1,41,47,111,132,146,150,162,165,172,184,191,197,208,226,235],"first":[2],"patient":[3],"reported":[4],"in":[5,51,68,229,247],"December":[6],"2019,":[7],"2019":[8],"novel":[9],"coronavirus":[10],"disease":[11],"(COVID-19)":[12],"has":[13],"become":[14],"global":[15],"pandemic":[16],"with":[17],"more":[18],"than":[19],"10":[20],"million":[21],"total":[22],"confirmed":[23],"cases":[24],"and":[25,38,49,59,70,92,123,139,168,206,218,249],"500":[26],"thousand":[27],"related":[28],"deaths.":[29],"Using":[30],"deep":[31],"learning":[32],"methods":[33],"to":[34,75,148,160,174,182],"quickly":[35],"identify":[36],"COVID-19":[37,78,105,236],"accurately":[39],"segment":[40,149,234],"infected":[42,151],"area":[43,173],"can":[44,82,130,232,242],"help":[45],"control":[46],"outbreak":[48],"assist":[50],"treatment.":[52],"Computed":[53],"tomography":[54],"(CT)":[55],"as":[56],"a":[57,96],"fast":[58],"easy":[60],"clinical":[61,76],"method,":[62],"it":[63],"is":[64],"suitable":[65],"for":[66,101,245],"assisting":[67,246],"diagnosis":[69,248],"treatment":[71,250],"of":[72,104,142,153,164,179,196,210,251],"COVID-19.":[73,252],"According":[74],"manifestations,":[77],"lung":[79,106],"infection":[80,107,199,212,237],"areas":[81,152],"be":[83,175,243],"divided":[84],"into":[85],"three":[86,198,211],"categories:":[87],"ground-glass":[88],"opacities,":[89],"interstitial":[90],"infiltrates":[91],"consolidation.":[93],"We":[94],"proposed":[95,114,228],"multi-scale":[97],"discriminative":[98],"network":[99,227],"(MSD-Net)":[100],"multi-class":[102],"segmentation":[103],"on":[108,171,238],"CT.":[109],"In":[110],"MSD-Net,":[112],"we":[113],"pyramid":[115],"convolution":[116],"block":[117,121,126],"(PCB),":[118],"channel":[119],"attention":[120],"(CAB)":[122],"residual":[124],"refinement":[125],"(RRB).":[127],"The":[128,156,177,221],"PCB":[129],"increase":[131],"receptive":[133],"field":[134],"by":[135],"using":[136],"different":[137,140,154],"numbers":[138],"sizes":[141],"kernels,":[143],"which":[144],"strengthened":[145],"ability":[147],"sizes.":[155],"CAB":[157],"was":[158,181],"used":[159],"fusion":[161],"input":[163],"two":[166],"stages":[167],"focus":[169],"features":[170],"segmented.":[176],"role":[178],"RRB":[180],"refine":[183],"feature":[185],"maps.":[186],"Experimental":[187],"results":[188,209,223],"showed":[189],"that":[190,225],"dice":[192],"similarity":[193],"coefficient":[194],"(DSC)":[195],"categories":[200,213],"were":[201,214],"0.7422,0.7384,0.8769":[202],"respectively.":[203,220],"For":[204],"sensitivity":[205],"specificity,":[207],"(0.8593,":[215],"0.9742),":[216],"(0.8268,0.9869)":[217],"(0.8645,0.9889)":[219],"experimental":[222],"demonstrated":[224],"this":[230],"paper":[231],"effectively":[233],"CT":[239],"images.":[240],"It":[241],"adopted":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}