{"id":"https://openalex.org/W4365801667","doi":"https://doi.org/10.1109/tim.2023.3267355","title":"CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images","display_name":"CdcSegNet: Automatic COVID-19 Infection Segmentation From CT Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4365801667","doi":"https://doi.org/10.1109/tim.2023.3267355"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3267355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3267355","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5101681827","display_name":"Ju Zhang","orcid":"https://orcid.org/0000-0003-3412-6448"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Zhang","raw_affiliation_strings":["College of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3412-6448","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019760648","display_name":"Dechen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119021","display_name":"Hundsun (China)","ror":"https://ror.org/02hwfmb37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210119021"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dechen Chen","raw_affiliation_strings":["Hundsun Technologies Inc., Hangzhou, China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4208-1270","affiliations":[{"raw_affiliation_string":"Hundsun Technologies Inc., Hangzhou, China","institution_ids":["https://openalex.org/I4210119021"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060365717","display_name":"Dong Ma","orcid":"https://orcid.org/0000-0002-4885-684X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ma","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4885-684X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079940658","display_name":"Changgang Ying","orcid":"https://orcid.org/0000-0001-8049-0449"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changgang Ying","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8049-0449","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoyan Sun","orcid":"https://orcid.org/0000-0002-5631-2295"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["College of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5631-2295","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017626004","display_name":"Xiaobing Xu","orcid":"https://orcid.org/0000-0002-3035-6281"},"institutions":[{"id":"https://openalex.org/I4210119853","display_name":"Zhejiang Hospital","ror":"https://ror.org/02kzr5g33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Xu","raw_affiliation_strings":["Department of Medical Imaging, Zhejiang Hospital, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3035-6281","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Zhejiang Hospital, Hangzhou, China","institution_ids":["https://openalex.org/I4210119853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102994759","display_name":"Yun Cheng","orcid":"https://orcid.org/0000-0002-8226-3159"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Cheng","raw_affiliation_strings":["College of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8226-3159","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1974,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96010975,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"13"},"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":0.9955999851226807,"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":0.9853000044822693,"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/segmentation","display_name":"Segmentation","score":0.8022664189338684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7215648293495178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673159122467041},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6106695532798767},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6052960753440857},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5925590395927429},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5731245875358582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5077022314071655},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.47059643268585205},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4444526731967926},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.42757365107536316},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18999558687210083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15063482522964478},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.14186832308769226}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8022664189338684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7215648293495178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673159122467041},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6106695532798767},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6052960753440857},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5925590395927429},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5731245875358582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5077022314071655},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.47059643268585205},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4444526731967926},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.42757365107536316},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18999558687210083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15063482522964478},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.14186832308769226},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3267355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3267355","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G852906915","display_name":null,"funder_award_id":"60974042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1986649315","https://openalex.org/W2517954747","https://openalex.org/W2550553598","https://openalex.org/W2762363380","https://openalex.org/W2884436604","https://openalex.org/W2884585870","https://openalex.org/W2921406441","https://openalex.org/W2962914239","https://openalex.org/W2963420686","https://openalex.org/W2963840672","https://openalex.org/W2998449272","https://openalex.org/W3004906315","https://openalex.org/W3015788359","https://openalex.org/W3025800305","https://openalex.org/W3026637813","https://openalex.org/W3027763298","https://openalex.org/W3034552520","https://openalex.org/W3040744166","https://openalex.org/W3044256341","https://openalex.org/W3083753334","https://openalex.org/W3097615406","https://openalex.org/W3104004606","https://openalex.org/W3104561312","https://openalex.org/W3108591672","https://openalex.org/W3112175976","https://openalex.org/W3114083731","https://openalex.org/W3115781494","https://openalex.org/W3120038138","https://openalex.org/W3146366485","https://openalex.org/W3161864725","https://openalex.org/W3162275167","https://openalex.org/W3164607782","https://openalex.org/W3165176148","https://openalex.org/W3166378522","https://openalex.org/W3175914901","https://openalex.org/W3189960127","https://openalex.org/W3191589749","https://openalex.org/W3196324719","https://openalex.org/W4200096204","https://openalex.org/W4200453770","https://openalex.org/W4290025121","https://openalex.org/W6639824700","https://openalex.org/W6696085341","https://openalex.org/W6753412334","https://openalex.org/W6777714645"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W4287804464","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W2152352598","https://openalex.org/W803346624","https://openalex.org/W1522196789"],"abstract_inverted_index":{"It":[0],"has":[1,13,196],"been":[2],"more":[3],"than":[4],"two":[5],"years":[6],"since":[7],"the":[8,20,40,70,83,87,91,94,97,101,105,139,171,206],"outbreak":[9],"of":[10,19,27,38,42,45,54,72,93,100,107,141,143,173,211],"COVID-19,":[11],"which":[12],"spread":[14,41],"to":[15,64,117,137,169,178,205],"almost":[16],"every":[17],"corner":[18],"world":[21],"and":[22,31,66,90,104,146,160,177,185,190,202,216],"killed":[23],"a":[24,55,111],"great":[25],"number":[26],"people.":[28],"Rapid":[29],"detection":[30],"screening":[32],"have":[33],"become":[34],"an":[35],"important":[36,62],"means":[37],"controlling":[39],"COVID-19.":[43,68],"Segmentation":[44],"COVID-19":[46,127,200],"infected":[47,88,102,125,181],"tissue":[48,89,103],"from":[49,122],"computed":[50],"tomography":[51],"(CT)":[52],"images":[53,124],"patient\u2019s":[56],"lungs":[57],"can":[58],"provide":[59],"clinicians":[60],"with":[61],"information":[63],"quantify":[65],"diagnose":[67],"However,":[69],"accuracy":[71,198],"medical":[73],"image":[74],"segmentation":[75,175],"is":[76,128,135,203],"seriously":[77],"affected":[78],"by":[79,126],"such":[80],"factors":[81],"as":[82],"low":[84],"contrast":[85],"between":[86],"edge":[92],"surrounding":[95],"environment,":[96],"large":[98],"variation":[99],"lack":[106,142],"labeling":[108],"data.":[109],"Therefore,":[110],"deep":[112],"learning":[113,134],"model":[114,194],"called":[115],"CdcSegNet":[116,195],"accurately":[118],"segment":[119,179],"lung":[120],"lesions":[121],"CT":[123],"proposed.":[129],"In":[130],"our":[131,193],"method,":[132],"transfer":[133],"introduced":[136],"solve":[138,170],"problem":[140,172],"annotation":[144],"data,":[145],"three":[147],"modules,":[148],"i.e.,":[149],"continuous":[150],"dilated":[151],"convolution":[152],"module":[153,158],"(CDC),":[154],"parallel":[155],"dual":[156],"attention":[157],"(PDA)":[159],"additional":[161],"multi-core":[162],"pooling":[163],"layer":[164],"(AMP)":[165],"are":[166,188],"innovatively":[167],"proposed":[168],"fuzzy":[174],"boundary":[176],"effectively":[180],"tissues.":[182],"Extensive":[183],"experiments":[184],"comparison":[186],"studies":[187],"made,":[189],"demonstrate":[191],"that":[192],"high":[197],"in":[199,209],"segmentation,":[201],"superior":[204],"state-of-the-art":[207],"models":[208],"terms":[210],"DICE,":[212],"SEN,":[213],"SPE,":[214],"PPV,":[215],"VOE.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}