{"id":"https://openalex.org/W4214937665","doi":"https://doi.org/10.1109/icaiic54071.2022.9722635","title":"Whole Slide Image Analysis and Detection of Prostate Cancer using Vision Transformers","display_name":"Whole Slide Image Analysis and Detection of Prostate Cancer using Vision Transformers","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4214937665","doi":"https://doi.org/10.1109/icaiic54071.2022.9722635"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic54071.2022.9722635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5107923044","display_name":"Kobiljon Ikromjanov","orcid":null},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kobiljon Ikromjanov","raw_affiliation_strings":["Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071495765","display_name":"Subrata Bhattacharjee","orcid":"https://orcid.org/0000-0002-6036-6915"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Subrata Bhattacharjee","raw_affiliation_strings":["Inje University,Dept. of Computer Engineering,Gimhae,Republic of Korea","Dept. of Computer Engineering, Inje University, Gimhae, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inje University,Dept. of Computer Engineering,Gimhae,Republic of Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Dept. of Computer Engineering, Inje University, Gimhae, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078532209","display_name":"Yeong-Byn Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeong-Byn Hwang","raw_affiliation_strings":["Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091062924","display_name":"Rashadul Islam Sumon","orcid":"https://orcid.org/0000-0003-3610-2562"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Rashadul Islam Sumon","raw_affiliation_strings":["Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102020002","display_name":"Hee\u2010Cheol Kim","orcid":"https://orcid.org/0000-0002-5399-7647"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hee-Cheol Kim","raw_affiliation_strings":["Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inje University,Dept. of Digital Anti-Aging Healthcare,Gimhae,Republic of Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Dept. of Digital Anti-Aging Healthcare, Inje University, Gimhae, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062411608","display_name":"Heung\u2010Kook Choi","orcid":"https://orcid.org/0000-0002-1372-7052"},"institutions":[{"id":"https://openalex.org/I104338594","display_name":"Inje University","ror":"https://ror.org/04xqwq985","country_code":"KR","type":"education","lineage":["https://openalex.org/I104338594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heung-Kook Choi","raw_affiliation_strings":["Inje University,Dept. of Computer Engineering,Gimhae,Republic of Korea","Dept. of Computer Engineering, Inje University, Gimhae, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inje University,Dept. of Computer Engineering,Gimhae,Republic of Korea","institution_ids":["https://openalex.org/I104338594"]},{"raw_affiliation_string":"Dept. of Computer Engineering, Inje University, Gimhae, Republic of Korea","institution_ids":["https://openalex.org/I104338594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5107923044"],"corresponding_institution_ids":["https://openalex.org/I104338594"],"apc_list":null,"apc_paid":null,"fwci":4.5074,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95165792,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9990000128746033,"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":0.9990000128746033,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9570000171661377,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.7665970325469971},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.706214964389801},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.6328220963478088},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6137473583221436},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.5901477932929993},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.5473324656486511},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.5239489078521729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653322100639343},{"id":"https://openalex.org/keywords/h-e-stain","display_name":"H&E stain","score":0.4596836566925049},{"id":"https://openalex.org/keywords/biopsy","display_name":"Biopsy","score":0.4454011619091034},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.43158605694770813},{"id":"https://openalex.org/keywords/adenocarcinoma","display_name":"Adenocarcinoma","score":0.43096524477005005},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.41432851552963257},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3626488745212555},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3569195568561554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3116993308067322},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1706361472606659},{"id":"https://openalex.org/keywords/immunohistochemistry","display_name":"Immunohistochemistry","score":0.0835874080657959}],"concepts":[{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.7665970325469971},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.706214964389801},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.6328220963478088},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6137473583221436},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.5901477932929993},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.5473324656486511},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.5239489078521729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653322100639343},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.4596836566925049},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.4454011619091034},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.43158605694770813},{"id":"https://openalex.org/C2781182431","wikidata":"https://www.wikidata.org/wiki/Q356033","display_name":"Adenocarcinoma","level":3,"score":0.43096524477005005},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.41432851552963257},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3626488745212555},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3569195568561554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3116993308067322},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1706361472606659},{"id":"https://openalex.org/C204232928","wikidata":"https://www.wikidata.org/wiki/Q899285","display_name":"Immunohistochemistry","level":2,"score":0.0835874080657959},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic54071.2022.9722635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2340714417","https://openalex.org/W2475054117","https://openalex.org/W2571620227","https://openalex.org/W2900118953","https://openalex.org/W2967444033","https://openalex.org/W2999091210","https://openalex.org/W3011769840","https://openalex.org/W3043535018","https://openalex.org/W3104605662","https://openalex.org/W3109000640","https://openalex.org/W3202730175","https://openalex.org/W4385245566","https://openalex.org/W6703917979","https://openalex.org/W6731743345","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W3039419443","https://openalex.org/W2065857975","https://openalex.org/W4386103331","https://openalex.org/W3012179402","https://openalex.org/W4214718886","https://openalex.org/W2125942968","https://openalex.org/W4288034278","https://openalex.org/W4387618892","https://openalex.org/W4378952948","https://openalex.org/W3176251441"],"abstract_inverted_index":{"Prostate":[0],"cancer":[1],"(PCa)":[2],"is":[3,27],"the":[4,13,28,37,62,119,163,171,179,194,214],"most":[5,22],"frequently":[6],"diagnosed":[7],"non-skin":[8],"malignancy":[9],"in":[10,105,130,206],"men":[11],"and":[12,46,125,199,216,221],"second":[14],"leading":[15],"cause":[16],"of":[17,44,77,122,149,159,165,182,223],"fatality":[18],"from":[19,55,81,143,162,178],"cancer.":[20,225],"The":[21,201],"prognostic":[23],"marker":[24],"for":[25,191],"PCa":[26],"Gleason":[29,38,63,172],"grading":[30,64,148,173],"system":[31],"on":[32,40,50,74,170],"histopathology":[33],"images.":[34],"Pathologists":[35],"examine":[36],"grade":[39,82,87],"stained":[41],"tissue":[42],"specimens":[43],"Hematoxylin":[45],"Eosin":[47],"(H&E)":[48],"based":[49,73,169],"tumor":[51],"structural":[52],"growth":[53],"patterns":[54,76,158],"whole":[56],"slide":[57],"image":[58],"(WSI).":[59],"According":[60],"to":[61,86,96,146,155,212,219],"system,":[65],"prostate":[66,167,224],"cancers":[67],"are":[68,197],"scaled":[69],"into":[70],"five":[71],"grades":[72],"glandular":[75],"differentiation.":[78],"It":[79],"varies":[80],"1":[83],"(normal":[84],"tumor)":[85],"5":[88],"(abnormal":[89],"tumor).":[90],"Cancer":[91],"cells":[92,98],"that":[93],"look":[94],"similar":[95],"healthy":[97],"receive":[99],"a":[100,166],"low":[101],"score.":[102],"Recent":[103],"developments":[104],"Computer-Aided":[106],"Detection":[107],"(CAD)":[108],"using":[109],"Artificial":[110],"Intelligence":[111],"(AI),":[112],"mainly":[113],"Deep":[114],"learning":[115,204],"(DL)":[116],"have":[117,139],"brought":[118],"immense":[120],"scope":[121],"automatic":[123],"detection":[124],"recognition":[126],"at":[127],"better":[128],"accuracy":[129],"adenocarcinoma":[131],"like":[132],"other":[133,217],"medical":[134],"diagnoses.":[135],"Automated":[136],"DL":[137],"systems":[138],"delivered":[140],"promising":[141],"results":[142],"histopathological":[144],"images":[145,160],"accurate":[147],"prostatic":[150],"adenocarcinoma.":[151],"This":[152],"study":[153],"aims":[154],"classify":[156],"multiple":[157],"extracted":[161],"WSI":[164],"biopsy":[168],"system.":[174],"First,":[175],"extract":[176],"patches":[177,196],"detected":[180],"region":[181],"interest":[183],"(ROI),":[184],"then":[185],"applying":[186],"Vision":[187],"Transformers":[188],"(ViT)":[189],"model":[190,205],"classification.":[192],"Finally,":[193],"classified":[195],"scored":[198],"graded.":[200],"proposed":[202],"deep":[203],"this":[207],"research":[208],"will":[209],"be":[210],"able":[211],"assist":[213],"pathologist":[215],"researchers":[218],"identify":[220],"treat":[222]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
