{"id":"https://openalex.org/W4412747982","doi":"https://doi.org/10.1109/tmi.2025.3594081","title":"Dual Cross-Image Semantic Consistency With Self-Aware Pseudo Labeling for Semi-Supervised Medical Image Segmentation","display_name":"Dual Cross-Image Semantic Consistency With Self-Aware Pseudo Labeling for Semi-Supervised Medical Image Segmentation","publication_year":2025,"publication_date":"2025-07-30","ids":{"openalex":"https://openalex.org/W4412747982","doi":"https://doi.org/10.1109/tmi.2025.3594081","pmid":"https://pubmed.ncbi.nlm.nih.gov/40737164"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3594081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3594081","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/A5102095659","display_name":"Han Wu","orcid":"https://orcid.org/0009-0009-6838-7911"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wu","raw_affiliation_strings":["School of Biomedical Engineering and the State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-6838-7911","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering and the State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329463","display_name":"Chong Wang","orcid":"https://orcid.org/0000-0003-0022-0217"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chong Wang","raw_affiliation_strings":["Department of Radiology, Stanford University, Stanford, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0022-0217","affiliations":[{"raw_affiliation_string":"Department of Radiology, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102308644","display_name":"Zhiming Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Cui","raw_affiliation_strings":["School of Biomedical Engineering and the State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3798-4504","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering and the State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9465,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95936436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"45","issue":"1","first_page":"177","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9684000015258789,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657832860946655},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6642404794692993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561734676361084},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5642461776733398},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5396708250045776},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5284091234207153},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5244710445404053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4667535126209259},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.45547226071357727},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.44648244976997375},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.432994544506073},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.414294958114624}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657832860946655},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6642404794692993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561734676361084},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5642461776733398},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5396708250045776},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5284091234207153},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5244710445404053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4667535126209259},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.45547226071357727},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.44648244976997375},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.432994544506073},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.414294958114624},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3594081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3594081","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40737164","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40737164","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 transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1314918714","display_name":null,"funder_award_id":"6230012077","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":53,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2083927153","https://openalex.org/W2804047627","https://openalex.org/W2839781211","https://openalex.org/W2914016683","https://openalex.org/W2918552801","https://openalex.org/W2962914239","https://openalex.org/W2979733033","https://openalex.org/W2979907638","https://openalex.org/W2992308087","https://openalex.org/W3024821730","https://openalex.org/W3037260676","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3091002423","https://openalex.org/W3093394156","https://openalex.org/W3171581326","https://openalex.org/W3176659256","https://openalex.org/W3194662286","https://openalex.org/W3203046931","https://openalex.org/W3203434372","https://openalex.org/W3203488660","https://openalex.org/W4225895868","https://openalex.org/W4285040393","https://openalex.org/W4286905173","https://openalex.org/W4295934990","https://openalex.org/W4298006986","https://openalex.org/W4310461141","https://openalex.org/W4311496088","https://openalex.org/W4312253580","https://openalex.org/W4312651959","https://openalex.org/W4313166273","https://openalex.org/W4313476628","https://openalex.org/W4375802394","https://openalex.org/W4382404966","https://openalex.org/W4386025632","https://openalex.org/W4386075748","https://openalex.org/W4386075981","https://openalex.org/W4387211674","https://openalex.org/W4387225938","https://openalex.org/W4388194185","https://openalex.org/W4388508503","https://openalex.org/W4390230809","https://openalex.org/W4390874420","https://openalex.org/W4392013871","https://openalex.org/W4396909916","https://openalex.org/W4402896336","https://openalex.org/W4403089510","https://openalex.org/W4403878433","https://openalex.org/W4406259291","https://openalex.org/W4407566516","https://openalex.org/W4408733250","https://openalex.org/W4410028539"],"related_works":["https://openalex.org/W2204605857","https://openalex.org/W3196005494","https://openalex.org/W2069318476","https://openalex.org/W2170380303","https://openalex.org/W1996489018","https://openalex.org/W2093085045","https://openalex.org/W2131637713","https://openalex.org/W1538326369","https://openalex.org/W2386159816","https://openalex.org/W29240789"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,74],"has":[2],"proven":[3],"highly":[4],"effective":[5],"in":[6,15,172],"tackling":[7],"the":[8,33,115,130,152,174,192],"challenge":[9],"of":[10,48,56,155,190],"limited":[11],"labeled":[12,57,98,104],"training":[13,29,153],"data":[14],"medical":[16,78],"image":[17,79],"segmentation.":[18,80],"In":[19],"general,":[20],"current":[21],"approaches,":[22],"which":[23],"rely":[24],"on":[25,114,164],"intra-image":[26],"pixel-wise":[27,84],"consistency":[28,34,95],"via":[30,125],"pseudo-labeling,":[31],"overlook":[32],"at":[35,214],"more":[36],"comprehensive":[37],"semantic":[38,85,94],"levels":[39],"(e.g.,":[40],"object":[41],"region)":[42],"and":[43,58,99,102,105,177,186],"suffer":[44],"from":[45,52],"severe":[46],"discrepancy":[47,132],"extracted":[49],"features":[50,197],"resulting":[51],"an":[53],"imbalanced":[54],"number":[55],"unlabeled":[59,100,156],"data.":[60,157],"To":[61],"overcome":[62],"these":[63],"limitations,":[64],"we":[65,135],"present":[66],"a":[67,137,179,187],"new":[68],"Dual":[69],"Cross-image":[70],"Semantic":[71],"Consistency":[72],"(DuCiSC)":[73],"framework,":[75],"for":[76,150],"semi-supervised":[77],"Concretely,":[81],"beyond":[82],"enforcing":[83],"consistency,":[86],"DuCiSC":[87,118,159],"proposes":[88],"dual":[89,116],"paradigms":[90],"to":[91,143],"encourage":[92],"region-level":[93],"across:":[96],"1)":[97],"images;":[101],"2)":[103],"fused":[106],"images,":[107],"by":[108],"explicitly":[109],"aligning":[110],"their":[111],"prototypes.":[112],"Relying":[113],"paradigms,":[117],"can":[119],"effectively":[120],"establish":[121],"consistent":[122],"cross-image":[123],"semantics":[124],"prototype":[126],"representations,":[127],"thereby":[128],"addressing":[129],"feature":[131],"issue.":[133],"Moreover,":[134],"devise":[136],"novel":[138],"self-aware":[139],"confidence":[140],"estimation":[141],"strategy":[142],"accurately":[144],"select":[145],"reliable":[146],"pseudo":[147],"labels,":[148],"allowing":[149],"exploiting":[151],"dynamics":[154],"Our":[158,209],"method":[160],"is":[161,211],"extensively":[162],"validated":[163],"four":[165],"datasets,":[166],"including":[167],"two":[168],"popular":[169],"binary":[170],"benchmarks":[171],"segmenting":[173,191],"left":[175],"atrium":[176],"pancreas,":[178],"multi-class":[180],"Automatic":[181],"Cardiac":[182],"Diagnosis":[183],"Challenge":[184],"dataset,":[185],"challenging":[188],"scenario":[189],"inferior":[193],"alveolar":[194],"nerve":[195],"that":[196],"complicated":[198],"anatomical":[199],"structures,":[200],"showing":[201],"superior":[202],"segmentation":[203],"results":[204],"over":[205],"previous":[206],"state-of-the-art":[207],"approaches.":[208],"code":[210],"publicly":[212],"available":[213],"https://github.com/ShanghaiTech-IMPACT/DuCiSC.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}