{"id":"https://openalex.org/W3196765037","doi":"https://doi.org/10.1145/3451421.3451440","title":"Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images","display_name":"Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images","publication_year":2020,"publication_date":"2020-12-05","ids":{"openalex":"https://openalex.org/W3196765037","doi":"https://doi.org/10.1145/3451421.3451440","mag":"3196765037"},"language":"en","primary_location":{"id":"doi:10.1145/3451421.3451440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451421.3451440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059368105","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0001-6658-6452"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Computer Science and Engineering, Northeastern University, Shenyang and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Northeastern University, Shenyang and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101986227","display_name":"Peng Cao","orcid":"https://orcid.org/0000-0002-7859-2769"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cao","raw_affiliation_strings":["Computer Science and Engineering, Northeastern University, Shenyang and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Northeastern University, Shenyang and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017211677","display_name":"Jinzhu Yang","orcid":"https://orcid.org/0000-0002-7754-1273"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzhu Yang","raw_affiliation_strings":["Computer Science and Engineering, Northeastern University, Shenyang and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Northeastern University, Shenyang and Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063409605","display_name":"Qi Yang","orcid":"https://orcid.org/0000-0002-5773-0456"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Yang","raw_affiliation_strings":["Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049482136","display_name":"Chengxi Yan","orcid":"https://orcid.org/0000-0003-1128-550X"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxi Yan","raw_affiliation_strings":["Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443647","display_name":"Wenxin Wang","orcid":"https://orcid.org/0000-0003-3526-0841"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Wang","raw_affiliation_strings":["Artificial Intelligence and Clinical Innovation Research, Neusoft of Medical Systems, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Clinical Innovation Research, Neusoft of Medical Systems, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015843491","display_name":"Minglei Yang","orcid":"https://orcid.org/0000-0002-6881-337X"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglei Yang","raw_affiliation_strings":["Artificial Intelligence and Clinical Innovation Research, Neusoft of Medical Systems, Shenyang and Neusoft Research of Intelligent Healthcare Technology, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Clinical Innovation Research, Neusoft of Medical Systems, Shenyang and Neusoft Research of Intelligent Healthcare Technology, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024907405","display_name":"Lili Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Dou","raw_affiliation_strings":["Neusoft Corporation, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Neusoft Corporation, Shenyang, China","institution_ids":["https://openalex.org/I4210134419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5059368105"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29217654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"90"},"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":0.9929999709129333,"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":0.9855999946594238,"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/deep-learning","display_name":"Deep learning","score":0.677789568901062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6774940490722656},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6633992195129395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474728584289551},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6274023056030273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5486853122711182},{"id":"https://openalex.org/keywords/quarantine","display_name":"Quarantine","score":0.48555228114128113},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.4602014720439911},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4567810297012329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.366962730884552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35591503977775574},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2531800866127014},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.24394643306732178},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.15942946076393127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10748064517974854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10009056329727173},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.08790895342826843}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.677789568901062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6774940490722656},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6633992195129395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474728584289551},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6274023056030273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5486853122711182},{"id":"https://openalex.org/C2781402358","wikidata":"https://www.wikidata.org/wiki/Q182899","display_name":"Quarantine","level":2,"score":0.48555228114128113},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.4602014720439911},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4567810297012329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.366962730884552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35591503977775574},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2531800866127014},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.24394643306732178},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.15942946076393127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10748064517974854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10009056329727173},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.08790895342826843},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3451421.3451440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451421.3451440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W3005079553","https://openalex.org/W3006110666","https://openalex.org/W3025800305"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W4366341510","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W2906397153","https://openalex.org/W2385445039","https://openalex.org/W3093723769"],"abstract_inverted_index":{"The":[0,134],"novel":[1],"corona-virus":[2],"disease":[3],"(COVID-19)":[4],"pandemic":[5],"has":[6],"caused":[7],"a":[8,21,42,56,76,98],"major":[9],"outbreak":[10],"in":[11,45,81],"more":[12],"than":[13],"200":[14],"countries":[15],"around":[16],"the":[17,25,104,132,139,142,146],"world,":[18],"leading":[19],"to":[20,102],"severe":[22],"impact":[23],"on":[24,131],"health":[26],"and":[27,34,48,97,128,145],"life":[28],"of":[29,37,64,111,141,148],"many":[30],"people":[31],"globally.":[32],"Accurate":[33],"rapid":[35],"diagnosis":[36],"COVID-19":[38,66],"suspected":[39],"cases":[40,80],"plays":[41],"crucial":[43],"role":[44],"timely":[46],"quarantine":[47],"medical":[49],"treatment.":[50],"In":[51],"this":[52],"work,":[53],"we":[54,85],"present":[55,86],"deep":[57,99],"learning":[58,108],"based":[59],"framework":[60],"for":[61,107,152],"automatic":[62],"segmentation":[63],"pathologic":[65],"associated":[67],"tissue":[68],"areas":[69],"from":[70,75],"clinical":[71,154],"CT":[72],"images":[73],"available":[74],"dataset":[77],"with":[78,94],"108":[79],"China.":[82],"More":[83],"specifically,":[84],"an":[87,121],"effective":[88],"multi-scale":[89],"feature":[90],"fusion":[91],"U-Net":[92],"equipped":[93],"ResNet":[95],"architecture":[96],"supervision":[100],"mechanism":[101],"increase":[103],"network's":[105],"capacity":[106],"richer":[109],"representations":[110],"infected":[112],"tissue.":[113],"Our":[114],"experiments":[115],"demonstrate":[116],"that":[117],"our":[118,149],"model":[119],"achieves":[120],"average":[122],"dice":[123],"score":[124],"(0.674),":[125],"sensitivity":[126],"(0.733)":[127],"Precision":[129],"(0.714)":[130],"dataset.":[133],"experimental":[135],"results":[136],"have":[137],"indicated":[138],"effectiveness":[140],"proposed":[143,150],"improvements":[144],"potential":[147],"method":[151],"real":[153],"practice.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
