{"id":"https://openalex.org/W4403333152","doi":"https://doi.org/10.1145/3686490.3686523","title":"Dual-view Label and Feature Supervision Network for Semi-supervised Medical Image Segmentation","display_name":"Dual-view Label and Feature Supervision Network for Semi-supervised Medical Image Segmentation","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4403333152","doi":"https://doi.org/10.1145/3686490.3686523"},"language":"en","primary_location":{"id":"doi:10.1145/3686490.3686523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686490.3686523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning","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/A5101293261","display_name":"Zhen Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zhou","raw_affiliation_strings":["College of Electronic and Information Engineering, Shandong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-9741-4455","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shandong University of Science and Technology, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091320821","display_name":"Zuoyong Li","orcid":"https://orcid.org/0000-0003-0952-9915"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoyong Li","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, China and School of Computer and Big Data, Minjiang University, China"],"raw_orcid":"https://orcid.org/0000-0003-0952-9915","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, China and School of Computer and Big Data, Minjiang University, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009603432","display_name":"Z. Jane Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyuan Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Shandong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-3269-7380","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shandong University of Science and Technology, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091426353","display_name":"Shenghua Teng","orcid":"https://orcid.org/0000-0002-5345-620X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghua Teng","raw_affiliation_strings":["College of Electronic and Information Engineering, Shandong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5345-620X","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shandong University of Science and Technology, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453442","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0001-9619-8717"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, China and School of Computer and Big Data, Minjiang University, China"],"raw_orcid":"https://orcid.org/0000-0001-9619-8717","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, China and School of Computer and Big Data, Minjiang University, China","institution_ids":["https://openalex.org/I354108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T10862","display_name":"AI in cancer detection","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7143046855926514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7055898904800415},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6734333038330078},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6597980260848999},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6280777454376221},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5764602422714233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5182220935821533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5164313912391663},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5104102492332458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7143046855926514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7055898904800415},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6734333038330078},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6597980260848999},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6280777454376221},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5764602422714233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5182220935821533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5164313912391663},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5104102492332458},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3686490.3686523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686490.3686523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W855272188","https://openalex.org/W1901129140","https://openalex.org/W2962914239","https://openalex.org/W2970726279","https://openalex.org/W2979907638","https://openalex.org/W3083779147","https://openalex.org/W3093394156","https://openalex.org/W3138516171","https://openalex.org/W3157653192","https://openalex.org/W3202192035","https://openalex.org/W3203046931","https://openalex.org/W4206693420","https://openalex.org/W4224062659","https://openalex.org/W4224246723","https://openalex.org/W4225894860","https://openalex.org/W4225895868","https://openalex.org/W4285040393","https://openalex.org/W4324122459","https://openalex.org/W4385224684","https://openalex.org/W4386065420","https://openalex.org/W4386075941","https://openalex.org/W4388738500","https://openalex.org/W4390874136"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W4379231730","https://openalex.org/W2952466936","https://openalex.org/W3147584709","https://openalex.org/W4389858081","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W1522196789","https://openalex.org/W2352553236"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,96,154],"has":[2],"garnered":[3],"significant":[4],"attention,":[5],"particularly":[6],"in":[7,41,46,54,134,144],"medical":[8],"image":[9],"segmentation,":[10],"owing":[11],"to":[12,15,30,51,61,80,122,155],"its":[13],"capacity":[14],"leverage":[16],"a":[17,24,94],"large":[18],"number":[19],"of":[20,27],"unlabeled":[21,43,87],"data":[22,29],"and":[23,56,74,83,108,164,176],"limited":[25],"amount":[26],"labeled":[28,185],"improve":[31],"performance.":[32],"However,":[33],"most":[34],"existing":[35],"semi-supervised":[36],"segmentation":[37],"methods":[38],"exhibit":[39],"shortcomings":[40],"supervising":[42],"data,":[44],"both":[45],"the":[47,57,67,102,109,116,135,145,162,189],"label":[48,82,136],"space":[49,59,147],"due":[50,60],"potential":[52],"noise":[53],"pseudo-labels,":[55],"feature":[58,84,146],"indistinct":[62],"class":[63,158],"boundaries.":[64,159],"To":[65],"address":[66],"issues":[68],"above,":[69],"we":[70],"propose":[71],"Dual-view":[72,110],"Label":[73],"Feature":[75],"Supervision":[76,105],"Network,":[77],"termed":[78],"DLFS-Net,":[79],"enhance":[81],"supervision":[85],"for":[86],"data.":[88],"Our":[89],"approach":[90],"is":[91],"based":[92],"on":[93,161,180],"dual-view":[95],"strategy":[97],"that":[98,168],"incorporates":[99],"two":[100,127,149],"modules:":[101],"Confidence":[103],"Fusion":[104],"Module":[106,113],"(CFS)":[107],"Prototype":[111],"Learning":[112],"(DPL).":[114],"Specifically,":[115],"CFS":[117],"module":[118,140],"generates":[119],"weight":[120],"matrices":[121],"integrate":[123],"complementary":[124],"information":[125],"from":[126,148],"model":[128],"outputs,":[129],"producing":[130],"more":[131],"accurate":[132],"pseudo-labels":[133],"space.":[137],"The":[138],"DPL":[139],"reduces":[141],"intra-class":[142],"variations":[143],"different":[150],"views":[151],"through":[152],"prototype":[153],"generate":[156],"clear":[157],"Experiments":[160],"LA":[163],"Pancreas-CT":[165,181],"datasets":[166],"demonstrate":[167],"our":[169],"framework":[170],"show":[171],"solid":[172],"gains":[173],"(e.g.,1.76%":[174],"Dice":[175],"2.37%":[177],"Jaccard":[178],"improvement":[179],"dataset":[182],"with":[183,188],"20%":[184],"data)":[186],"compared":[187],"state-of-the-art":[190],"methods.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}