{"id":"https://openalex.org/W4406260135","doi":"https://doi.org/10.1109/bibm62325.2024.10822160","title":"AC-CAM: Affinity-Aware Contrast CAM for Weakly-Supervised Semantic Segmentation on MRI Brain Tumor","display_name":"AC-CAM: Affinity-Aware Contrast CAM for Weakly-Supervised Semantic Segmentation on MRI Brain Tumor","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406260135","doi":"https://doi.org/10.1109/bibm62325.2024.10822160"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5036873817","display_name":"Haili Wang","orcid":"https://orcid.org/0000-0002-0519-3919"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haili Wang","raw_affiliation_strings":["New York University,New York,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,New York,USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090347175","display_name":"Jingqian Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingqian Wu","raw_affiliation_strings":["The University of Hong Kong,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Hong Kong,China","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069910742","display_name":"Changwei Wang","orcid":"https://orcid.org/0000-0003-4996-3097"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changwei Wang","raw_affiliation_strings":["Qilu University of Technology, CASIA,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology, CASIA,Jinan,China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109031501","display_name":"Min Zhao","orcid":"https://orcid.org/0000-0003-1402-8293"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhao","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077267369","display_name":"Duzhen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duzhen Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101418190","display_name":"Rongtao Xu","orcid":"https://orcid.org/0000-0002-2748-9083"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongtao Xu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.215,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58405848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3768","last_page":"3771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9833999872207642,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9736999869346619,"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/contrast","display_name":"Contrast (vision)","score":0.674182653427124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6250720620155334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.612692654132843},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5834736227989197},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4115052819252014},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38311445713043213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36140328645706177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3565133810043335}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.674182653427124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6250720620155334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.612692654132843},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5834736227989197},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4115052819252014},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38311445713043213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36140328645706177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3565133810043335}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":15,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W2962858109","https://openalex.org/W3035253074","https://openalex.org/W3035703639","https://openalex.org/W3201514487","https://openalex.org/W4280578375","https://openalex.org/W4313153210","https://openalex.org/W4366308987","https://openalex.org/W4376870219","https://openalex.org/W4382467532","https://openalex.org/W4387211583","https://openalex.org/W4399989595","https://openalex.org/W4401414960","https://openalex.org/W6603236259","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Applying":[0],"the":[1,14,25,30,71,78,92,99,108,119,123,130,154,176],"latest":[2],"visual":[3],"transformer":[4],"(ViT)":[5],"to":[6,35,90,117],"Weakly-Supervised":[7],"Semantic":[8],"Segmentation":[9],"(WSSS)":[10],"can":[11],"compensate":[12],"for":[13,56,141,158,164],"local":[15],"perception":[16],"limitations":[17],"of":[18,102,122,135,156],"CNN,":[19],"but":[20],"it":[21],"also":[22],"brings":[23],"about":[24],"over-smoothing":[26,100],"problem,":[27],"that":[28,152,169],"is,":[29],"final":[31],"patch":[32,95],"labels":[33,110],"tend":[34],"be":[36],"uniform.":[37],"To":[38],"overcome":[39],"this":[40],"challenge,":[41],"we":[42],"present":[43],"an":[44],"Affinity-Aware":[45,72,79],"Contrast":[46,74],"Class":[47],"Activation":[48],"Maps":[49],"(AC-CAM)":[50],"framework":[51,144],"aimed":[52],"at":[53],"enhancing":[54],"WSSS":[55],"MRI":[57],"Brain":[58],"Tumor":[59],"analysis":[60],"by":[61],"exploiting":[62],"only":[63],"image-level":[64],"labels.":[65],"We":[66],"propose":[67],"two":[68],"main":[69],"components:":[70],"Token":[73],"Module":[75,81],"(ATCM)":[76],"and":[77,114,162],"Refine":[80],"(ARM).":[82],"ATCM":[83],"utilizes":[84],"semantic":[85],"affinities":[86],"from":[87],"attention":[88],"maps":[89],"improve":[91],"contrast":[93],"between":[94],"tokens,":[96],"effectively":[97],"reducing":[98],"tendency":[101],"Vision":[103],"Transformers":[104],"(ViT).":[105],"ARM":[106],"refines":[107],"pseudo":[109],"further,":[111],"incorporating":[112],"RGB":[113],"affinity":[115],"information":[116],"capture":[118],"intricate":[120],"details":[121],"target":[124],"objects.":[125],"Our":[126],"approach":[127],"capitalizes":[128],"on":[129,175],"global":[131],"feature":[132],"capturing":[133],"capabilities":[134],"ViT,":[136],"producing":[137],"more":[138],"accurate":[139],"pseudo-labels":[140],"WSSS.":[142],"The":[143],"is":[145],"optimized":[146],"through":[147],"a":[148],"composite":[149],"loss":[150],"function":[151],"ensures":[153],"consistency":[155],"representations":[157],"positive":[159],"token":[160],"pairs":[161],"discriminability":[163],"negative":[165],"ones.":[166],"Experiments":[167],"show":[168],"our":[170],"method":[171],"achieves":[172],"state-of-the-art":[173],"performance":[174],"BraTS":[177],"2021":[178],"dataset.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
