{"id":"https://openalex.org/W4408355501","doi":"https://doi.org/10.1109/icassp49660.2025.10887861","title":"Modality Modulation and Dual Consistency for Multi-Modality Semi-Supervised Medical Image Segmentation","display_name":"Modality Modulation and Dual Consistency for Multi-Modality Semi-Supervised Medical Image Segmentation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355501","doi":"https://doi.org/10.1109/icassp49660.2025.10887861"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100692979","display_name":"Yingyu Chen","orcid":"https://orcid.org/0009-0001-7303-1030"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyu Chen","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019886356","display_name":"Ziyuan Yang","orcid":"https://orcid.org/0000-0002-0275-4098"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyuan Yang","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082236554","display_name":"Xiong Deng","orcid":"https://orcid.org/0000-0002-5207-471X"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deng Xiong","raw_affiliation_strings":["Stevens Institute of Technology,Computer Science Department,Hoboken,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Computer Science Department,Hoboken,NJ,USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388265","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0003-0294-8973"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Sichuan University,School of Cyber Science and Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan University,School of Cyber Science and Engineering,Chengdu,China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.880299985408783,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.880299985408783,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8125,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7598000168800354,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.824720025062561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5937714576721191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5656694173812866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5632782578468323},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.562687873840332},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5290830731391907},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5135738849639893},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5015549659729004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3313140869140625}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.824720025062561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937714576721191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5656694173812866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5632782578468323},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.562687873840332},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5290830731391907},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5135738849639893},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5015549659729004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3313140869140625},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2802798675","https://openalex.org/W2962793481","https://openalex.org/W2966415767","https://openalex.org/W2979907638","https://openalex.org/W3002569343","https://openalex.org/W3005193778","https://openalex.org/W3165310467","https://openalex.org/W3171581326","https://openalex.org/W3202926593","https://openalex.org/W4225869843","https://openalex.org/W4281994894","https://openalex.org/W4306647851","https://openalex.org/W4312465577","https://openalex.org/W4313172482","https://openalex.org/W4389776620","https://openalex.org/W4391179369","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6733814495","https://openalex.org/W6764051988","https://openalex.org/W6789305514"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W3144423903","https://openalex.org/W2377397762","https://openalex.org/W2793967660","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Multi-modality":[0],"(MM)":[1],"semi-supervised":[2],"learning":[3],"(SSL)":[4],"based":[5],"medical":[6],"image":[7,130],"segmentation":[8],"has":[9],"recently":[10],"gained":[11],"increasing":[12],"attention":[13],"due":[14],"to":[15,18,43,47,60,90,103],"its":[16],"ability":[17],"utilize":[19],"MM":[20],"data":[21,63,92],"and":[22,131,155],"low":[23],"dependency":[24],"on":[25,150],"labeled":[26],"images.":[27],"However,":[28],"current":[29],"MM-SSL":[30],"methods":[31,46,59,149],"face":[32],"two":[33,52],"major":[34],"challenges:":[35],"(1)":[36],"Complex":[37],"network":[38,89],"designs":[39],"make":[40],"it":[41],"difficult":[42],"apply":[44],"these":[45,73],"scenarios":[48],"involving":[49],"more":[50],"than":[51],"modalities.":[53],"(2)":[54],"The":[55,157],"use":[56],"of":[57],"generative":[58,139],"leverage":[61],"unlabeled":[62],"may":[64],"not":[65],"be":[66],"reliable":[67],"for":[68,138],"SSL":[69],"learning.":[70],"To":[71],"address":[72],"challenges,":[74],"we":[75,84,119],"propose":[76,120],"Modality":[77,99],"Modulation":[78,100],"Dual":[79],"Consistency,":[80],"dubbed":[81],"MM-DC.":[82],"Specifically,":[83],"design":[85],"a":[86,111,121],"modality":[87],"all-in-one":[88],"process":[91],"from":[93,107],"all":[94],"modalities,":[95],"with":[96,153],"learnable":[97],"plug-in":[98],"Layers":[101],"(MML)":[102],"gradually":[104],"modulate":[105],"features":[106],"different":[108],"modalities":[109],"into":[110],"modality-invariant":[112],"feature":[113,132],"space,":[114],"enabling":[115],"unified":[116],"segmentation.":[117],"Additionally,":[118],"dual-consistency":[122],"strategy":[123],"that":[124,144],"enforces":[125],"consistency":[126],"at":[127],"both":[128],"the":[129,136],"levels,":[133],"which":[134],"eliminates":[135],"requirements":[137],"methods.":[140],"Extensive":[141],"experiments":[142],"demonstrate":[143],"MM-DC":[145],"outperforms":[146],"other":[147],"state-of-the-art":[148],"open-source":[151],"datasets":[152],"2-":[154],"4-modalities.":[156],"code":[158],"is":[159],"available<sup":[160],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
