{"id":"https://openalex.org/W4406354466","doi":"https://doi.org/10.1109/jbhi.2025.3529483","title":"A Region and Category Confidence-Based Multi-Task Network for Carotid Ultrasound Image Segmentation and Classification","display_name":"A Region and Category Confidence-Based Multi-Task Network for Carotid Ultrasound Image Segmentation and Classification","publication_year":2025,"publication_date":"2025-01-14","ids":{"openalex":"https://openalex.org/W4406354466","doi":"https://doi.org/10.1109/jbhi.2025.3529483","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031080"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3529483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3529483","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060997415","display_name":"Haitao Gan","orcid":"https://orcid.org/0000-0002-6103-1797"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Gan","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103279387","display_name":"Ran Zhou","orcid":"https://orcid.org/0000-0002-8254-4997"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Zhou","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8254-4997","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025370190","display_name":"Yanghan Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghan Ou","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043611836","display_name":"Furong Wang","orcid":"https://orcid.org/0000-0001-8693-7301"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Furong Wang","raw_affiliation_strings":["Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103431239","display_name":"Xinyao Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210120234","display_name":"Zhongnan Hospital of Wuhan University","ror":"https://ror.org/01v5mqw79","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210120234"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Cheng","raw_affiliation_strings":["Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210120234","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109763583","display_name":"Lingchao Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingchao Fu","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004966232","display_name":"Aaron Fenster","orcid":"https://orcid.org/0000-0003-3525-2788"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aaron Fenster","raw_affiliation_strings":["Imaging Research Laboratories, Robarts Research Institute, Western University, London, ON, Canada","Imaging Research Laboratories, Robarts Research Institute, Western University, London, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3525-2788","affiliations":[{"raw_affiliation_string":"Imaging Research Laboratories, Robarts Research Institute, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Imaging Research Laboratories, Robarts Research Institute, Western University, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5931,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95796334,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"12","first_page":"9158","last_page":"9169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9341999888420105,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6955501437187195},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6386891603469849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6266937255859375},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5718494653701782},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5213361978530884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5145623087882996},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5064800977706909},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4278838634490967},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42468133568763733}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6955501437187195},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6386891603469849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266937255859375},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5718494653701782},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5213361978530884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5145623087882996},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5064800977706909},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4278838634490967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42468133568763733},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092262","descriptor_name":"Ultrasonography, Carotid Arteries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000092262","descriptor_name":"Ultrasonography, Carotid Arteries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016893","descriptor_name":"Carotid Stenosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016893","descriptor_name":"Carotid Stenosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3529483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3529483","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:40031080","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031080","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G135761245","display_name":null,"funder_award_id":"2021CFB282","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G8166267032","display_name":null,"funder_award_id":"62201203","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"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1501440340","https://openalex.org/W1985090024","https://openalex.org/W2041294944","https://openalex.org/W2053206629","https://openalex.org/W2054641134","https://openalex.org/W2054873741","https://openalex.org/W2057455031","https://openalex.org/W2058331351","https://openalex.org/W2082290759","https://openalex.org/W2125096763","https://openalex.org/W2135042124","https://openalex.org/W2143058286","https://openalex.org/W2144067918","https://openalex.org/W2154495870","https://openalex.org/W2194775991","https://openalex.org/W2551562422","https://openalex.org/W2606382560","https://openalex.org/W2787091153","https://openalex.org/W2928165649","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2991372685","https://openalex.org/W2996290406","https://openalex.org/W3014641072","https://openalex.org/W3091029539","https://openalex.org/W3092849554","https://openalex.org/W3126566397","https://openalex.org/W3133373015","https://openalex.org/W3167976421","https://openalex.org/W3182078573","https://openalex.org/W3187749735","https://openalex.org/W3202921440","https://openalex.org/W4287225527","https://openalex.org/W4293378144","https://openalex.org/W4310474990","https://openalex.org/W4319759385","https://openalex.org/W4375928970","https://openalex.org/W4386858051"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W3159516372","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,113,162],"segmentation":[1,33,56,88,140,172],"and":[2,18,34,46,57,89,98,173,189,202,221],"classification":[3,125,174,201],"of":[4,16,42,120,144,149,198,205],"carotid":[5,31,86,150,241],"plaques":[6,151],"in":[7,13,225,244],"ultrasound":[8,85,147],"images":[9,148],"play":[10],"important":[11],"roles":[12],"the":[14,40,43,47,52,55,107,118,124,128,134,139,166,210,213,218,227,234],"treatment":[15],"atherosclerosis":[17],"assessment":[19],"for":[20,30,84,138,159,200,207,240],"stroke":[21],"risk.":[22],"Although":[23],"deep":[24],"learning":[25,81],"methods":[26,37,50],"have":[27],"been":[28],"used":[29],"plaque":[32,87,121,242],"classification,":[35,90],"two-stage":[36],"will":[38,60],"increase":[39],"complexity":[41],"overall":[44],"analysis":[45,243],"existing":[48,178],"multi-task":[49,80,190],"ignored":[51],"relationship":[53],"between":[54,109],"classification.":[58],"These":[59],"lead":[61],"to":[62,105,123,132,177],"suboptimal":[63],"performance":[64,175],"as":[65],"valuable":[66],"information":[67],"might":[68],"not":[69],"be":[70,238],"fully":[71],"leveraged":[72],"across":[73],"all":[74],"tasks.":[75,112],"Therefore,":[76,230],"we":[77,231],"propose":[78],"a":[79,93,99,203],"framework":[82],"(RCCM-Net)":[83],"which":[91],"utilizes":[92],"region":[94],"confidence":[95,102],"module":[96,103],"(RCM)":[97],"sample":[100,136],"category":[101],"(CCM)":[104],"exploit":[106],"correlation":[108],"these":[110],"two":[111],"RCM":[114,220],"provides":[115],"knowledge":[116],"from":[117,154],"probability":[119],"regions":[122],"task,":[126],"while":[127],"CCM":[129,222],"is":[130],"designed":[131,219],"learn":[133],"categorical":[135],"weight":[137],"task.":[141],"A":[142],"total":[143],"1270":[145],"2D":[146],"were":[152,223],"collected":[153],"Zhongnan":[155],"Hospital":[156],"(Wuhan,":[157],"China)":[158],"our":[160],"experiments.":[161],"results":[163,214],"showed":[164],"that":[165,216,233],"proposed":[167,235],"method":[168,236],"can":[169],"improve":[170],"both":[171,217],"compared":[176],"single-task":[179],"networks":[180],"(i.e.,":[181,192],"SegNet,":[182],"Deeplabv3+,":[183],"UNet++,":[184],"EfficientNet,":[185],"Res2Net,":[186],"RepVGG,":[187],"DPN)":[188],"algorithms":[191],"HRNet,":[193],"MTANet),":[194],"with":[195],"an":[196],"accuracy":[197],"85.82%":[199],"Dice-similarity-coefficient":[204],"84.92%":[206],"segmentation.":[208],"In":[209],"ablation":[211],"study,":[212],"demonstrated":[215],"beneficial":[224],"improving":[226],"network's":[228],"performance.":[229],"believe":[232],"could":[237],"useful":[239],"clinical":[245],"practice.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}