{"id":"https://openalex.org/W7126049219","doi":"https://doi.org/10.1109/bibm66473.2025.11357190","title":"ConsMatch: A Semi-Supervised Segmentation Approach for Dental CBCT by Leveraging Geometric Information to Refine Pseudo-Labels","display_name":"ConsMatch: A Semi-Supervised Segmentation Approach for Dental CBCT by Leveraging Geometric Information to Refine Pseudo-Labels","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126049219","doi":"https://doi.org/10.1109/bibm66473.2025.11357190"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357190","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 Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026529043","display_name":"Xiangyu Guo","orcid":"https://orcid.org/0000-0001-9405-3792"},"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":"Xiangyu Guo","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China"],"raw_orcid":null,"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/A5124288411","display_name":"Shuyi Lu","orcid":null},"institutions":[{"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":"Shuyi Lu","raw_affiliation_strings":["School of Software, Shandong First Medical University,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong First Medical University,Jinan,China","institution_ids":["https://openalex.org/I4210163399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121830628","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 Software, ShanghaiTech University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, ShanghaiTech University,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124215871","display_name":"Xiaojie Wang","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":"Xiaojie Wang","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chuanxiang Yang","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":"Chuanxiang Yang","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China"],"raw_orcid":null,"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/A5007389144","display_name":"Guangshun Wei","orcid":"https://orcid.org/0000-0002-6045-4392"},"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":"Guangshun Wei","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124220145","display_name":"Yuanfeng Zhou","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":"Yuanfeng Zhou","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China"],"raw_orcid":null,"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":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2194","last_page":"2199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.008100000210106373,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.007499999832361937,"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/segmentation","display_name":"Segmentation","score":0.7595999836921692},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6988000273704529},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5318999886512756},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5015000104904175},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4837000072002411},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4788999855518341},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46160000562667847},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3734000027179718}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7595999836921692},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6988000273704529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6837000250816345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626999974250793},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5095000267028809},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4837000072002411},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46160000562667847},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3734000027179718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C136520226","wikidata":"https://www.wikidata.org/wiki/Q302814","display_name":"Geometric data analysis","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357190","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 Bioinformatics and Biomedicine (BIBM)","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":10,"referenced_works":["https://openalex.org/W2464708700","https://openalex.org/W2955353723","https://openalex.org/W2979907638","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3203488660","https://openalex.org/W4282936279","https://openalex.org/W4312651959","https://openalex.org/W4387211580","https://openalex.org/W4403069283"],"related_works":[],"abstract_inverted_index":{"Precise":[0],"tooth":[1],"instance":[2,54],"segmentation":[3,55,107],"from":[4],"dental":[5,112],"CBCT":[6,113],"images":[7],"is":[8],"essential":[9],"for":[10],"accurate":[11],"diagnosis,":[12],"yet":[13],"the":[14,20,46,60,95],"scarcity":[15],"of":[16,24],"labeled":[17],"data":[18,114],"and":[19,56,74,86,106,124],"complex":[21],"geometric":[22,43,65,91],"variations":[23],"teeth":[25],"make":[26],"this":[27],"task":[28],"challenging.":[29],"To":[30],"address":[31],"these":[32],"issues,":[33],"we":[34],"propose":[35],"ConsMatch,":[36],"a":[37],"semi-supervised":[38],"framework":[39],"that":[40,116],"explicitly":[41],"integrates":[42],"information":[44],"into":[45],"learning":[47],"process.":[48],"It":[49],"establishes":[50],"task-level":[51],"consistency":[52],"between":[53],"boundary":[57],"extraction,":[58],"guiding":[59],"model":[61,96],"to":[62,97],"capture":[63],"finegrained":[64],"structures.":[66],"Furthermore,":[67],"two":[68],"geometry-aware":[69],"strategies-Threshold":[70],"Adjustment":[71,76],"Strategy":[72,77],"(TAS)":[73],"Weight":[75],"(WAS)-dynamically":[78],"refine":[79],"pseudo-label":[80],"generation":[81],"by":[82],"adapting":[83],"class-specific":[84],"thresholds":[85],"supervision":[87],"weights":[88],"based":[89],"on":[90,99,111],"consistency.":[92],"This":[93],"enables":[94],"focus":[98],"high-confidence,":[100],"structure-consistent":[101],"pseudolabels,":[102],"enhancing":[103],"training":[104],"stability":[105],"accuracy.":[108],"Experimental":[109],"results":[110],"show":[115],"ConsMatch":[117],"achieves":[118],"superior":[119],"performance":[120],"across":[121],"Dice,":[122],"Jaccard,":[123],"HD95":[125],"metrics,":[126],"consistently":[127],"outperforming":[128],"existing":[129],"semisupervised":[130],"methods.":[131]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-30T00:00:00"}