{"id":"https://openalex.org/W4408443402","doi":"https://doi.org/10.1109/tim.2025.3551576","title":"COVID-19 Lung Infection Segmentation With Cascaded Aggregation Network","display_name":"COVID-19 Lung Infection Segmentation With Cascaded Aggregation Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408443402","doi":"https://doi.org/10.1109/tim.2025.3551576"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3551576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551576","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/A5051382382","display_name":"Jiangping Tang","orcid":"https://orcid.org/0009-0006-1811-2387"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangping Tang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-1811-2387","affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075052648","display_name":"Xiaofei Zhou","orcid":"https://orcid.org/0000-0002-7977-9728"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Zhou","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7977-9728","affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053040404","display_name":"Yuhan Gao","orcid":"https://orcid.org/0000-0002-7777-3613"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Gao","raw_affiliation_strings":["School of Automation and Lishui Institute, Hangzhou Dianzi University, Hangzhou, China","School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7777-3613","affiliations":[{"raw_affiliation_string":"School of Automation and Lishui Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730785","display_name":"Xiaowen Chu","orcid":"https://orcid.org/0000-0001-9745-4372"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaowen Chu","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, New Territories, Hong Kong","Department of Computer Science &#x0026; Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-9745-4372","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, New Territories, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science &#x0026; Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066247159","display_name":"Zongpeng Li","orcid":"https://orcid.org/0000-0001-5351-2075"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongpeng Li","raw_affiliation_strings":["School of Automation and Lishui Institute, Hangzhou Dianzi University, Hangzhou, China","School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5351-2075","affiliations":[{"raw_affiliation_string":"School of Automation and Lishui Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054311881","display_name":"Chenggang Yan","orcid":"https://orcid.org/0000-0003-1204-0512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Yan","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1204-0512","affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064810678","display_name":"Jiyong Zhang","orcid":"https://orcid.org/0000-0001-9600-8477"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyong Zhang","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9600-8477","affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06589376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9434000253677368,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9358000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.667667806148529},{"id":"https://openalex.org/keywords/lung-infection","display_name":"Lung infection","score":0.5817124843597412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48895347118377686},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45126911997795105},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.429382860660553},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4260065257549286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36997950077056885},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.3271747827529907},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24331167340278625},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.07477903366088867}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.667667806148529},{"id":"https://openalex.org/C3020695711","wikidata":"https://www.wikidata.org/wiki/Q3631290","display_name":"Lung infection","level":3,"score":0.5817124843597412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48895347118377686},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45126911997795105},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.429382860660553},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4260065257549286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36997950077056885},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.3271747827529907},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24331167340278625},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.07477903366088867},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2025.3551576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551576","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-156693","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-156693","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G6601490168","display_name":"\u591a\u6a21\u6570\u636e\u878d\u5408\u7684\u51a0\u72b6\u75c5\u6bd2\u611f\u67d3\u667a\u80fd\u9632\u8bca\u6790\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"LZ22F020003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7596411858","display_name":null,"funder_award_id":"62271180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8463220003","display_name":null,"funder_award_id":"2023C01046","funder_id":"https://openalex.org/F4320317323","funder_display_name":"Key Research and Development Program of Heilongjiang"}],"funders":[{"id":"https://openalex.org/F4320317323","display_name":"Key Research and Development Program of Heilongjiang","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W855272188","https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2003258143","https://openalex.org/W2100822646","https://openalex.org/W2108598243","https://openalex.org/W2115414021","https://openalex.org/W2160104978","https://openalex.org/W2160754664","https://openalex.org/W2464708700","https://openalex.org/W2522861252","https://openalex.org/W2542707222","https://openalex.org/W2787091153","https://openalex.org/W2793954249","https://openalex.org/W2884436604","https://openalex.org/W2893691907","https://openalex.org/W2921406441","https://openalex.org/W2924911266","https://openalex.org/W2928165649","https://openalex.org/W2948666538","https://openalex.org/W2963032190","https://openalex.org/W2963112696","https://openalex.org/W2963150697","https://openalex.org/W2963299740","https://openalex.org/W2963446712","https://openalex.org/W2963529609","https://openalex.org/W2963542911","https://openalex.org/W2963604034","https://openalex.org/W2963868681","https://openalex.org/W2964043069","https://openalex.org/W2987701848","https://openalex.org/W2990984982","https://openalex.org/W2998449272","https://openalex.org/W3004906315","https://openalex.org/W3005272159","https://openalex.org/W3007273493","https://openalex.org/W3008801544","https://openalex.org/W3016950572","https://openalex.org/W3027763298","https://openalex.org/W3029443186","https://openalex.org/W3033272814","https://openalex.org/W3040744166","https://openalex.org/W3048524582","https://openalex.org/W3102628144","https://openalex.org/W3120191671","https://openalex.org/W3128131898","https://openalex.org/W3174846316","https://openalex.org/W3211225569","https://openalex.org/W3215835978","https://openalex.org/W4289792370","https://openalex.org/W4295046720","https://openalex.org/W4295747616","https://openalex.org/W4308462679","https://openalex.org/W4312300665","https://openalex.org/W4315607730","https://openalex.org/W4323022482","https://openalex.org/W4362683603","https://openalex.org/W4391403627","https://openalex.org/W4392309443","https://openalex.org/W6631190155","https://openalex.org/W6750469568","https://openalex.org/W6774807847"],"related_works":["https://openalex.org/W4206669628","https://openalex.org/W4205317059","https://openalex.org/W4224279380","https://openalex.org/W3176864053","https://openalex.org/W4206651655","https://openalex.org/W4292098121","https://openalex.org/W4210433452","https://openalex.org/W3036314732","https://openalex.org/W3084808338","https://openalex.org/W3196306939"],"abstract_inverted_index":{"The":[0],"pandemic":[1],"of":[2,28,58,117,198],"coronavirus":[3],"disease":[4],"2019":[5],"(COVID-19)":[6],"has":[7],"had":[8],"a":[9,19,74,81,85,90,130,147],"significant":[10],"global":[11,163],"impact,":[12],"and":[13,36,65,89,100,146,162,204,247],"computed":[14],"tomography":[15],"(CT)":[16],"scans":[17],"play":[18],"crucial":[20],"role":[21],"in":[22,237,256],"diagnosing":[23],"COVID-19,":[24],"where":[25],"the":[26,95,114,121,168,174,195,214,233],"research":[27],"deep":[29,127],"learning-based":[30],"lung":[31,259],"infection":[32,118,199],"segmentation":[33,41,196,217],"attracts":[34],"more":[35,37],"attention.":[38],"However,":[39],"existing":[40],"methods":[42],"often":[43],"struggle":[44],"with":[45,113,201],"challenges":[46],"unique":[47],"to":[48,110],"COVID-19":[49,258],"CT":[50],"images,":[51],"such":[52],"as":[53],"scattered":[54],"regions,":[55],"varying":[56,202],"numbers":[57],"infected":[59],"areas,":[60],"diverse":[61],"sizes,":[62],"intricate":[63],"backgrounds,":[64],"indistinct":[66],"boundaries.":[67],"To":[68],"address":[69],"these":[70],"challenges,":[71],"we":[72,156,211],"propose":[73],"cascaded":[75,86,122],"aggregation":[76,92,150,170],"network":[77],"(CANet)":[78],"which":[79],"incorporates":[80],"multi-level":[82],"feature":[83,97,149,160,181,188],"encoder,":[84],"decoding":[87,123],"module,":[88],"pyramid":[91,169],"module.":[93],"First,":[94],"multilevel":[96,126],"encoder":[98],"captures":[99],"enhances":[101],"high-level":[102],"semantic":[103,164],"cues":[104],"across":[105,190],"multiple":[106],"levels,":[107],"allowing":[108],"CANet":[109,223,229],"effectively":[111],"deal":[112],"spatial":[115,192],"variability":[116],"areas.":[119],"Then,":[120],"module":[124,171],"combines":[125],"features":[128],"using":[129,178],"hierarchical":[131],"structure.":[132],"It":[133],"progressively":[134],"fuses":[135],"information":[136],"from":[137],"different":[138,191],"levels":[139],"through":[140],"two":[141],"partial":[142],"decoder":[143],"(PD)":[144],"blocks":[145],"dense":[148],"(DFA)":[151],"block.":[152],"In":[153],"this":[154,209],"way,":[155],"can":[157,212],"ensure":[158],"detailed":[159],"refinement":[161],"consistency.":[165],"After":[166],"that,":[167],"further":[172],"refines":[173],"fused":[175],"features.":[176],"By":[177,207],"three":[179],"attention-aware":[180],"integration":[182],"(AFI)":[183],"units,":[184],"it":[185],"dynamically":[186],"adjusts":[187],"importance":[189],"scales,":[193],"improving":[194],"accuracy":[197],"regions":[200],"sizes":[203],"complex":[205],"backgrounds.":[206],"following":[208],"approach,":[210],"achieve":[213],"final":[215],"premium":[216],"results.":[218],"Extensive":[219],"experiments":[220],"show":[221],"that":[222],"outperforms":[224],"13":[225],"state-of-the-art":[226],"methods.":[227],"Specifically,":[228],"achieves":[230],"improvements":[231],"over":[232],"top-level":[234],"model":[235],"BS-Net":[236],"sensitivity":[238],"(2.2%),":[239],"<inline-formula":[240],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[241],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[242],"<tex-math":[243],"notation=\"LaTeX\">$F1$":[244],"</tex-math></inline-formula>-score":[245],"(0.5%),":[246],"Hausdorff":[248],"distance":[249],"(HD)":[250],"(10.5%),":[251],"demonstrating":[252],"its":[253],"superior":[254],"performance":[255],"segmenting":[257],"infections.":[260]},"counts_by_year":[],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}