{"id":"https://openalex.org/W4417473157","doi":"https://doi.org/10.1109/sipaim67325.2025.11283315","title":"CAMIL-A Class Activation Mapping Integrated with MIL-Attention","display_name":"CAMIL-A Class Activation Mapping Integrated with MIL-Attention","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4417473157","doi":"https://doi.org/10.1109/sipaim67325.2025.11283315"},"language":null,"primary_location":{"id":"doi:10.1109/sipaim67325.2025.11283315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","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/A5120847927","display_name":"David C\u00f3rdoba-Vargas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"David C\u00f3rdoba-Vargas","raw_affiliation_strings":["Universidad de Nari&#x00F1;o,Grupo de Investigaci&#x00F3;n en Ingenier&#x00ED;a El&#x00E9;ctrica y Electr&#x00F3;nica - GIIEE,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad de Nari&#x00F1;o,Grupo de Investigaci&#x00F3;n en Ingenier&#x00ED;a El&#x00E9;ctrica y Electr&#x00F3;nica - GIIEE,Colombia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046258017","display_name":"Fabi\u00e1n Cano","orcid":null},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Fabian Cano","raw_affiliation_strings":["Universidad Nacional de Colombia,Computer Imaging and Medical Applications Laboratory (CIM@LAB)"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,Computer Imaging and Medical Applications Laboratory (CIM@LAB)","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106662327","display_name":"Javier Revelo-Fuelag\u00e1n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Revelo-Fuelag\u00e1n","raw_affiliation_strings":["Universidad de Nari&#x00F1;o,Grupo de Investigaci&#x00F3;n en Ingenier&#x00ED;a El&#x00E9;ctrica y Electr&#x00F3;nica - GIIEE,Colombia"],"affiliations":[{"raw_affiliation_string":"Universidad de Nari&#x00F1;o,Grupo de Investigaci&#x00F3;n en Ingenier&#x00ED;a El&#x00E9;ctrica y Electr&#x00F3;nica - GIIEE,Colombia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112224139","display_name":"Eduardo Romero","orcid":null},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Eduardo Romero","raw_affiliation_strings":["Universidad Nacional de Colombia,Computer Imaging and Medical Applications Laboratory (CIM@LAB)"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,Computer Imaging and Medical Applications Laboratory (CIM@LAB)","institution_ids":["https://openalex.org/I36243813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5120847927"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58579851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.3716999888420105,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.3716999888420105,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.17489999532699585,"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/T10696","display_name":"Gastric Cancer Management and Outcomes","score":0.08550000190734863,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5770000219345093},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5630999803543091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5342000126838684},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4837999939918518},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.46389999985694885},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43220001459121704},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.4059999883174896},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.3864000141620636}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6628999710083008},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5770000219345093},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5630999803543091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320000052452087},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43220001459121704},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.3864000141620636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3352999985218048},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2948000133037567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29249998927116394},{"id":"https://openalex.org/C134246092","wikidata":"https://www.wikidata.org/wiki/Q6018862","display_name":"Index of dissimilarity","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sipaim67325.2025.11283315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sipaim67325.2025.11283315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)","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":18,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2126547130","https://openalex.org/W2964324957","https://openalex.org/W3043535018","https://openalex.org/W3090504894","https://openalex.org/W3159538563","https://openalex.org/W3162871189","https://openalex.org/W3203263549","https://openalex.org/W4310335952","https://openalex.org/W4312443924","https://openalex.org/W4382561848","https://openalex.org/W4387743006","https://openalex.org/W4391929441","https://openalex.org/W4392947521","https://openalex.org/W4400038286","https://openalex.org/W4407192178","https://openalex.org/W4408565417","https://openalex.org/W4410351305"],"related_works":[],"abstract_inverted_index":{"Gastric":[0],"cancer":[1],"shows":[2],"high":[3,52],"incidence":[4],"and":[5,107,114,130],"diagnostic":[6],"variability":[7],"in":[8,121],"southwestern":[9],"Colombia,":[10],"hindering":[11],"effective":[12],"prognostic":[13],"stratification.":[14],"This":[15],"work":[16],"proposes":[17],"CAMIL-A,":[18],"a":[19,59,88,108,122,128],"method":[20],"that":[21,94],"combines":[22],"image-level":[23],"attention":[24,68,90,116],"maps":[25,29],"with":[26,38,63],"patch-level":[27],"activation":[28],"to":[30,133],"identify":[31,70],"regions":[32],"within":[33,81],"whole-slide":[34],"images":[35],"(WSIs)":[36],"associated":[37],"clinical":[39,135],"outcomes.":[40],"The":[41,67],"model":[42],"uses":[43],"deep":[44],"representations":[45],"extracted":[46],"from":[47],"patches":[48,74],"selected":[49],"based":[50],"on":[51],"tissue":[53],"content,":[54],"which":[55],"are":[56],"processed":[57],"through":[58],"multilayer":[60],"perceptron":[61],"trained":[62],"case-level":[64],"survival":[65],"labels.":[66],"weights":[69],"the":[71,96],"most":[72,97],"relevant":[73],"globally,":[75],"while":[76],"Grad-CAM":[77],"highlights":[78],"local":[79],"features":[80],"each":[82],"patch.":[83],"By":[84],"combining":[85],"both":[86],"signals,":[87],"weighted":[89],"map":[91],"is":[92],"generated":[93],"emphasizes":[95],"informative":[98],"morphological":[99],"regions.":[100],"CAMIL-A":[101],"achieved":[102],"an":[103],"F1-score":[104],"of":[105,112],"0.857":[106],"concordance":[109],"index":[110],"(C-index)":[111],"0.879,":[113],"its":[115],"scores":[117],"showed":[118],"significant":[119],"associations":[120],"multivariate":[123],"Cox":[124],"regression":[125],"analysis,":[126],"providing":[127],"visual":[129],"quantitative":[131],"tool":[132],"support":[134],"prognosis.":[136]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-18T00:00:00"}
