{"id":"https://openalex.org/W7118187213","doi":"https://doi.org/10.1109/tmi.2025.3650583","title":"Common Pattern Prior-Driven Semi-Supervised Medical Image Segmentation","display_name":"Common Pattern Prior-Driven Semi-Supervised Medical Image Segmentation","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7118187213","doi":"https://doi.org/10.1109/tmi.2025.3650583","pmid":"https://pubmed.ncbi.nlm.nih.gov/41489973"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3650583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3650583","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/A5051677056","display_name":"Lexin Fang","orcid":"https://orcid.org/0000-0003-3243-851X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lexin Fang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-3243-851X","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031548326","display_name":"Yunyang Xu","orcid":"https://orcid.org/0000-0001-8649-6948"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyang Xu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-8649-6948","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063811410","display_name":"Anxin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099937","display_name":"Fourth People\u2019s Hospital of Jinan","ror":"https://ror.org/012xbj452","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099937"]},{"id":"https://openalex.org/I4210162355","display_name":"Jinan City People's Hospital","ror":"https://ror.org/05b2ycy47","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162355"]},{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anxin Zhang","raw_affiliation_strings":["People&#x2019;s Hospital of Lixia District of Jinan, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"People&#x2019;s Hospital of Lixia District of Jinan, Jinan, China","institution_ids":["https://openalex.org/I4210099937","https://openalex.org/I4210162355","https://openalex.org/I4210163399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121967487","display_name":"Xin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0003-1780-2851","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121944800","display_name":"Xuemei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Li","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5064-7425","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":null,"display_name":"Caiming Zhang","orcid":"https://orcid.org/0000-0003-0217-1543"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiming Zhang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-0217-1543","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.03475763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"5","first_page":"2198","last_page":"2211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8130000233650208,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.8130000233650208,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.032999999821186066,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.01979999989271164,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6536999940872192},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6180999875068665},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5267000198364258},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5006999969482422},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4805999994277954},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4345000088214874},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4004000127315521},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3937000036239624},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3765000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520999908447266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7340999841690063},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6536999940872192},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6180999875068665},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5267000198364258},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48899999260902405},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4805999994277954},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4004000127315521},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.34220001101493835},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.304500013589859},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.26510000228881836}],"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":"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3650583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3650583","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:41489973","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41489973","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":[{"display_name":"Reduced inequalities","score":0.6932843327522278,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5338855155","display_name":null,"funder_award_id":"U22A2033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7500618102","display_name":null,"funder_award_id":"U24A20219","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,103,154],"(SSL)":[2],"has":[3],"emerged":[4],"as":[5,137],"a":[6,84,101,121,197],"promising":[7],"paradigm":[8],"for":[9,90,112,141],"medical":[10,92,228],"image":[11,93,229],"segmentation,":[12],"aiming":[13],"to":[14,62,172,203,211],"alleviate":[15],"the":[16,69,142,175,180,206,216],"scarcity":[17],"of":[18,52,71,155,183,208,219],"high-quality":[19,76,113,138],"annotations":[20],"by":[21],"combining":[22],"limited":[23],"labeled":[24],"and":[25,54,77,135,158,162,236,238],"abundant":[26],"unlabeled":[27],"data.":[28,221],"However,":[29],"existing":[30],"SSL":[31],"methods":[32,59],"suffer":[33],"from":[34],"inherent":[35],"limitations:":[36],"1)":[37],"consistency":[38,45],"regularization":[39],"overly":[40],"relies":[41],"on":[42,225],"enforcing":[43],"prediction":[44],"under":[46],"different":[47],"perturbations,":[48],"neglecting":[49],"deep":[50],"exploration":[51],"semantic":[53,110],"discriminative":[55],"features;":[56],"2)":[57],"pseudo-labeling":[58],"are":[60],"prone":[61],"introducing":[63],"noise,":[64],"which":[65,128],"in":[66],"turn":[67],"undermines":[68],"stability":[70],"model":[72,80],"training.":[73],"To":[74,95,193],"enable":[75],"more":[78],"stable":[79],"learning,":[81],"we":[82],"propose":[83],"common":[85,124],"pattern":[86,102,125,184],"prior-driven":[87],"network":[88],"(CPP-Net)":[89],"semi-supervised":[91],"segmentation.":[94],"improve":[96],"training":[97,134,195],"quality,":[98],"CPP-Net":[99,148,232],"proposes":[100],"mechanism":[104],"that":[105,174],"extracts":[106],"each":[107],"class's":[108],"core":[109],"information":[111,166],"feature":[114,160],"learning.":[115],"At":[116],"its":[117,234],"core,":[118],"it":[119],"is":[120,170,177,201],"dynamically":[122],"updated":[123],"bank":[126],"(CP-Bank),":[127],"stores":[129],"class-specific":[130],"patterns":[131],"learned":[132],"throughout":[133],"serves":[136],"prior":[139],"knowledge":[140],"model.":[143],"By":[144],"reusing":[145],"CP-Bank":[146,176],"patterns,":[147,157],"reconstructs":[149],"current-stage":[150],"features,":[151],"reduces":[152],"redundant":[153],"shared":[156],"boosts":[159],"robustness":[161],"discriminability.":[163],"Furthermore,":[164],"an":[165],"gain-driven":[167],"update":[168],"strategy":[169],"proposed":[171],"ensure":[173],"aligned":[178],"with":[179],"historical":[181],"mean":[182,241],"distributions,":[185],"preventing":[186],"excessive":[187],"bias":[188],"toward":[189],"transient":[190],"local":[191],"patterns.":[192],"enhance":[194],"stability,":[196],"dynamic":[198],"regulation":[199],"function":[200],"designed":[202],"adaptively":[204],"modulate":[205],"impact":[207],"pseudo-labels":[209],"according":[210],"their":[212],"confidence,":[213],"thereby":[214],"mitigating":[215],"adverse":[217],"effects":[218],"low-confidence":[220],"Through":[222],"extensive":[223],"experiments":[224],"various":[226],"2D/3D":[227],"segmentation":[230],"datasets,":[231],"demonstrates":[233],"effectiveness":[235],"generalizability,":[237],"achieves":[239],"7.5%":[240],"Dice":[242],"improvement":[243],"over":[244],"SOTA.":[245]},"counts_by_year":[],"updated_date":"2026-05-08T13:12:06.581006","created_date":"2026-01-05T00:00:00"}
