{"id":"https://openalex.org/W4386362570","doi":"https://doi.org/10.1109/isbi53787.2023.10230823","title":"Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation","display_name":"Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362570","doi":"https://doi.org/10.1109/isbi53787.2023.10230823"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","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/A5046258017","display_name":"Fabi\u00e1n Cano","orcid":null},"institutions":[{"id":"https://openalex.org/I3129686679","display_name":"Universidad de los Llanos","ror":"https://ror.org/042335e16","country_code":"CO","type":"education","lineage":["https://openalex.org/I3129686679"]},{"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,Cim@lab Research Group,Bogotá,Colombia","GITECX & Adalab Research Group, Universidad de los Llanos, Villavicencio, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,Cim@lab Research Group,Bogotá,Colombia","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"GITECX & Adalab Research Group, Universidad de los Llanos, Villavicencio, Colombia","institution_ids":["https://openalex.org/I3129686679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041149368","display_name":"Charlems Alvarez\u2010Jimenez","orcid":"https://orcid.org/0000-0001-7100-6387"},"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":"Charlems Alvarez-Jimenez","raw_affiliation_strings":["Universidad Nacional de Colombia,Cim@lab Research Group,Bogotá,Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,Cim@lab Research Group,Bogotá,Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790773","display_name":"Eduardo Romero","orcid":"https://orcid.org/0000-0003-2088-2509"},"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,Cim@lab Research Group,Bogotá,Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,Cim@lab Research Group,Bogotá,Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072005501","display_name":"\u00c1ngel Cruz-Roa","orcid":"https://orcid.org/0000-0003-3389-8913"},"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":"Angel Cruz-Roa","raw_affiliation_strings":["Universidad Nacional de Colombia,Cim@lab Research Group,Bogotá,Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Colombia,Cim@lab Research Group,Bogotá,Colombia","institution_ids":["https://openalex.org/I36243813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1112323,"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/T10862","display_name":"AI in cancer detection","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9986000061035156,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9695000052452087,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adenocarcinoma","display_name":"Adenocarcinoma","score":0.6945208311080933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689943075180054},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.6347600221633911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5702231526374817},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5503055453300476},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.5323116183280945},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.5259231328964233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5162984728813171},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.4995260238647461},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.48733147978782654},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45726996660232544},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.44480428099632263},{"id":"https://openalex.org/keywords/histology","display_name":"Histology","score":0.4228106737136841},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2641327381134033},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2141890525817871},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1828668713569641},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13146370649337769}],"concepts":[{"id":"https://openalex.org/C2781182431","wikidata":"https://www.wikidata.org/wiki/Q356033","display_name":"Adenocarcinoma","level":3,"score":0.6945208311080933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689943075180054},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.6347600221633911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5702231526374817},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5503055453300476},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.5323116183280945},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.5259231328964233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5162984728813171},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.4995260238647461},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.48733147978782654},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45726996660232544},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.44480428099632263},{"id":"https://openalex.org/C57742111","wikidata":"https://www.wikidata.org/wiki/Q7168","display_name":"Histology","level":2,"score":0.4228106737136841},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2641327381134033},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2141890525817871},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1828668713569641},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13146370649337769},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307804","display_name":"BP","ror":"https://ror.org/051659894"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2032995263","https://openalex.org/W2105933823","https://openalex.org/W2290084959","https://openalex.org/W2466033276","https://openalex.org/W2594102731","https://openalex.org/W2752625590","https://openalex.org/W2753738274","https://openalex.org/W2760946358","https://openalex.org/W2786672974","https://openalex.org/W2801829871","https://openalex.org/W2911705731","https://openalex.org/W2922268597","https://openalex.org/W2964345665","https://openalex.org/W2967444033","https://openalex.org/W4223937445","https://openalex.org/W4280550098","https://openalex.org/W6744627333","https://openalex.org/W6748816842","https://openalex.org/W6758351571","https://openalex.org/W6810435918"],"related_works":["https://openalex.org/W3039419443","https://openalex.org/W4386772532","https://openalex.org/W4393212117","https://openalex.org/W2115661411","https://openalex.org/W2399391471","https://openalex.org/W2400254106","https://openalex.org/W2970729894","https://openalex.org/W4381996710","https://openalex.org/W4294739205","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Lung":[0],"adenocarcinoma":[1,110],"is":[2,20],"a":[3,58,67,103,118,142],"type":[4],"of":[5,15,52,55,60,80,107,133,147],"non-small":[6],"cell":[7],"lung":[8,17,56,109],"cancer":[9],"that":[10],"accounts":[11],"for":[12,36],"about":[13],"40%":[14],"all":[16],"cancers,":[18],"which":[19,46,84],"divided":[21],"into":[22],"different":[23],"molecular":[24],"and":[25,32,44,64,115,117,141],"histological":[26],"subtypes":[27,112],"associated":[28],"with":[29],"particular":[30],"prognosis":[31],"treatment.":[33],"Pathologists":[34],"stratify":[35],"diagnosis":[37],"mainly":[38],"by":[39],"its":[40],"histo-morphological":[41],"visual":[42,145],"features":[43],"patterns,":[45],"tends":[47],"to":[48,90,101],"be":[49],"challenging":[50],"because":[51],"the":[53,123,138],"nature":[54],"tissue,":[57],"mixture":[59],"histologically":[61],"complex":[62],"patterns":[63],"not":[65],"having":[66],"specialized":[68],"grading":[69],"system.":[70],"Here,":[71],"an":[72,78,92,130],"unsupervised":[73,93],"computational":[74],"approach":[75],"based":[76],"on":[77],"ensemble":[79],"tissue-specialized":[81],"variational":[82],"autoencoders,":[83],"were":[85],"trained":[86],"per":[87],"histopathology":[88],"subtype,":[89],"build":[91],"embedded":[94,125],"tissue-image":[95],"representation.":[96,126],"This":[97],"representation":[98],"was":[99],"used":[100],"train":[102],"Random":[104],"Forest":[105],"classifier":[106],"three":[108],"histology":[111],"(lepidic,":[113],"papillary":[114],"solid),":[116],"2D-visually":[119],"interpretable":[120],"projection":[121],"from":[122],"learned":[124],"Experimental":[127],"results":[128],"achieve":[129],"average":[131],"F-score":[132],"0.72":[134],"\u00b1":[135],"0.05":[136],"in":[137],"test":[139],"dataset":[140],"well-separated":[143],"2D":[144],"mapping":[146],"tissue":[148],"subtypes.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}