{"id":"https://openalex.org/W7125926310","doi":"https://doi.org/10.1109/smc58881.2025.11342848","title":"ConsMatch: Semi-Supervised Medical Image Segmentation via Multi-View Contrast and Feature Consistency","display_name":"ConsMatch: Semi-Supervised Medical Image Segmentation via Multi-View Contrast and Feature Consistency","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125926310","doi":"https://doi.org/10.1109/smc58881.2025.11342848"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5113625257","display_name":"YD Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhan Chen","raw_affiliation_strings":["Guilin University of Electronic Technology,School of Computer Science and Information Security,Guilin,China,541004"],"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,School of Computer Science and Information Security,Guilin,China,541004","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680540","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-3897-9942"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Li","raw_affiliation_strings":["Guilin University of Electronic Technology,School of Computer Science and Information Security,Guilin,China,541004"],"affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology,School of Computer Science and Information Security,Guilin,China,541004","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124104285","display_name":"Bin Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhao","raw_affiliation_strings":["Guangxi Colleges and Universities Key Laboratory of AI Algorithm Engineering, Guilin University of Electronic Technology,School of Artificial Intelligence,Guilin,China,541004"],"affiliations":[{"raw_affiliation_string":"Guangxi Colleges and Universities Key Laboratory of AI Algorithm Engineering, Guilin University of Electronic Technology,School of Artificial Intelligence,Guilin,China,541004","institution_ids":["https://openalex.org/I5343935","https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113625257"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71735342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2109","last_page":"2115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.6229000091552734,"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":0.6229000091552734,"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":0.06960000097751617,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.045899998396635056,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6952000260353088},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6924999952316284},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6498000025749207},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6316999793052673},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5582000017166138},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.501800000667572},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49810001254081726},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4968000054359436}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7592999935150146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6952000260353088},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6924999952316284},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6498000025749207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6330999732017517},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6316999793052673},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5582000017166138},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49810001254081726},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4867999851703644},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4544999897480011},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.321399986743927},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3188000023365021},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2854999899864197},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2540000081062317},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.25290000438690186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2138621090","https://openalex.org/W2778764040","https://openalex.org/W2804047627","https://openalex.org/W2979907638","https://openalex.org/W3035524453","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3093394156","https://openalex.org/W3120562181","https://openalex.org/W3174697615","https://openalex.org/W3203046931","https://openalex.org/W4225895868","https://openalex.org/W4282935002","https://openalex.org/W4283800702","https://openalex.org/W4285040393","https://openalex.org/W4386075748","https://openalex.org/W4386075981","https://openalex.org/W4387211597","https://openalex.org/W4387211674","https://openalex.org/W4394625631","https://openalex.org/W4402509827","https://openalex.org/W4402727208","https://openalex.org/W4403069264","https://openalex.org/W4403069407","https://openalex.org/W4403878433"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,8,21,27,45,78,84,88,96,100,115,126,129,145,150,175,181],"task":[2],"of":[3,20,29,32,40,87,131,185],"semi-supervised":[4,52],"medical":[5,33,53],"image":[6,34,54,90],"segmentation,":[7],"focus":[9],"is":[10],"on":[11,58,174],"how":[12],"to":[13,82,117,153],"fully":[14],"utilize":[15],"unlabeled":[16,41,156],"data.":[17,42],"However,":[18],"most":[19],"current":[22],"methods":[23],"can":[24,192],"hardly":[25],"solve":[26],"problems":[28],"difficult":[30],"segmentation":[31,55],"contours":[35],"and":[36,61,94,148,166],"insufficient":[37],"feature":[38,62,85,146],"exploration":[39],"To":[43],"overcome":[44],"above":[46],"problems,":[47],"this":[48],"paper":[49],"proposes":[50],"a":[51],"framework":[56],"based":[57],"multi-view":[59,162],"contrast":[60],"consistency":[63,168],"named":[64],"ConsMatch.":[65],"We":[66,170],"design":[67],"two":[68],"key":[69],"modules:":[70],"MCR":[71],"(Multi-View":[72],"Contrastive":[73],"Representation)":[74],"module,":[75,112],"which":[76,113,186],"utilizes":[77],"contrastive":[79],"learning":[80,165],"idea":[81],"maximize":[83],"similarity":[86,103,133],"same":[89,97],"under":[91,135],"different":[92,105,136],"perturbations,":[93],"at":[95],"time,":[98],"minimizes":[99],"redundant":[101],"structural":[102,122,132,142,167],"between":[104],"images;":[106],"FCR":[107],"(":[108],"Feature-level":[109],"Consistency":[110],"Regularization)":[111],"guides":[114],"model":[116],"learn":[118,154],"features":[119],"with":[120],"stable":[121],"expressions":[123],"by":[124],"minimizing":[125],"difference":[127],"in":[128,144,158,195],"distribution":[130],"matrices":[134],"enhancement":[137],"views.":[138],"The":[139],"method":[140],"introduces":[141],"constraints":[143],"space,":[147],"strengthens":[149],"model\u2019s":[151],"ability":[152],"from":[155],"data":[157],"multiple":[159],"dimensions":[160],"through":[161],"comparison":[163],"representation":[164],"regularization.":[169],"conduct":[171],"extensive":[172],"experiments":[173],"ACDC":[176],"dataset":[177],"as":[178,180],"well":[179],"LA":[182],"dataset,":[183],"both":[184],"yield":[187],"high":[188],"performance.":[189],"Our":[190],"code":[191],"be":[193],"found":[194],"https://github.com/magic-fortune/ConsMatch.":[196]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
