{"id":"https://openalex.org/W4386362632","doi":"https://doi.org/10.1109/isbi53787.2023.10230463","title":"Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis","display_name":"Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362632","doi":"https://doi.org/10.1109/isbi53787.2023.10230463"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230463","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":"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/A5046750252","display_name":"Kazuki Uehara","orcid":"https://orcid.org/0000-0002-6628-6668"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Uehara","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085393855","display_name":"Wataru Uegami","orcid":"https://orcid.org/0000-0002-0285-6270"},"institutions":[{"id":"https://openalex.org/I4210114023","display_name":"Kameda Medical Center","ror":"https://ror.org/01gf00k84","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210114023"]},{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Uegami","raw_affiliation_strings":["Nagasaki University Graduate School of Biomedical Sciences,Department of Pathology Informatics,Sakamoto, Nagasaki,Japan,1-7-1","Department of Pathology, Kameda Medical Center, Higashi-cho, Kamogwa, Chiba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagasaki University Graduate School of Biomedical Sciences,Department of Pathology Informatics,Sakamoto, Nagasaki,Japan,1-7-1","institution_ids":["https://openalex.org/I43777268"]},{"raw_affiliation_string":"Department of Pathology, Kameda Medical Center, Higashi-cho, Kamogwa, Chiba, Japan","institution_ids":["https://openalex.org/I4210114023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055002737","display_name":"Hirokazu Nosato","orcid":"https://orcid.org/0000-0003-0332-7028"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirokazu Nosato","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102933815","display_name":"Masahiro Murakawa","orcid":"https://orcid.org/0000-0002-8406-7426"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Murakawa","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041976076","display_name":"Junya Fukuoka","orcid":"https://orcid.org/0000-0002-2496-3050"},"institutions":[{"id":"https://openalex.org/I4210114023","display_name":"Kameda Medical Center","ror":"https://ror.org/01gf00k84","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210114023"]},{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junya Fukuoka","raw_affiliation_strings":["Nagasaki University Graduate School of Biomedical Sciences,Department of Pathology Informatics,Sakamoto, Nagasaki,Japan,1-7-1","Department of Pathology, Kameda Medical Center, Higashi-cho, Kamogwa, Chiba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagasaki University Graduate School of Biomedical Sciences,Department of Pathology Informatics,Sakamoto, Nagasaki,Japan,1-7-1","institution_ids":["https://openalex.org/I43777268"]},{"raw_affiliation_string":"Department of Pathology, Kameda Medical Center, Higashi-cho, Kamogwa, Chiba, Japan","institution_ids":["https://openalex.org/I4210114023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027102173","display_name":"Hidenori Sakanashi","orcid":"https://orcid.org/0000-0001-8987-908X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidenori Sakanashi","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Umezono, Tsukuba, Ibaraki,Japan,1-1-1","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55677875,"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":"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":0.9962000250816345,"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":0.9962000250816345,"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":0.98580002784729,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9781000018119812,"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/interpretability","display_name":"Interpretability","score":0.8516227006912231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8198672533035278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.754338264465332},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5655405521392822},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5593715906143188},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5213488340377808},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.519659161567688},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5061797499656677},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4844212830066681},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43198806047439575},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42552807927131653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38511109352111816},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07451567053794861}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8516227006912231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8198672533035278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.754338264465332},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5655405521392822},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5593715906143188},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5213488340377808},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.519659161567688},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5061797499656677},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4844212830066681},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43198806047439575},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42552807927131653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38511109352111816},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07451567053794861},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230463","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":[{"display_name":"Peace, Justice and strong institutions","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W1995875735","https://openalex.org/W2010792435","https://openalex.org/W2062177968","https://openalex.org/W2302302587","https://openalex.org/W2785934082","https://openalex.org/W2952846726","https://openalex.org/W2953073956","https://openalex.org/W2962851944","https://openalex.org/W2962858109","https://openalex.org/W2982805640","https://openalex.org/W3035524453","https://openalex.org/W3091730259","https://openalex.org/W3135547872","https://openalex.org/W4200254023","https://openalex.org/W6685133223","https://openalex.org/W6747701563","https://openalex.org/W6754669440"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"In":[0],"this":[1,30],"study,":[2],"we":[3,32,152],"aim":[4],"to":[5,21,66,84,107],"construct":[6],"a":[7,47,131],"pathological":[8,80,126],"image":[9,128],"diagnosis":[10],"support":[11],"system":[12],"that":[13,38,82,139,154],"can":[14,39],"perform":[15,125],"accurate":[16,160],"diagnoses":[17],"and":[18,87,100,135],"enable":[19],"users":[20],"easily":[22],"interpret":[23],"the":[24,41,51,57,85,92,105,118,136,149,162],"basis":[25,42,58],"for":[26,43,122],"its":[27,44,63,89],"decisions.":[28],"To":[29],"end,":[31],"propose":[33],"an":[34,70],"explainable":[35],"neural":[36],"network":[37,52,55,74,106],"provide":[40],"decisions":[45,86],"from":[46,62,91],"dictionary":[48,64,90,119,141],"constructed":[49],"by":[50,59],"itself.":[53],"The":[54,73],"explains":[56],"retrieving":[60],"images":[61],"similar":[65],"local":[67],"regions":[68],"in":[69],"input":[71],"image.":[72],"learns":[75],"histological":[76,109],"patterns":[77,94,110],"such":[78],"as":[79],"findings":[81],"contributed":[83],"constructs":[88],"representative":[93],"via":[95],"multiple":[96],"instance":[97],"learning":[98,116],"(MIL)":[99],"contrastive":[101,115],"learning.":[102],"MIL":[103],"enables":[104],"learn":[108],"without":[111],"pixel-wise":[112],"annotations,":[113],"whereas":[114],"makes":[117],"items":[120,142],"consistent":[121],"interpretability.":[123],"We":[124],"whole-slide":[127],"classification":[129],"using":[130],"lung":[132],"biopsy":[133],"dataset,":[134],"results":[137,150],"show":[138],"interpretable":[140],"could":[143],"be":[144],"learned.":[145],"Further,":[146],"based":[147],"on":[148],"obtained,":[151],"establish":[153],"our":[155],"method":[156],"is":[157],"more":[158],"diagnostically":[159],"than":[161],"existing":[163],"methods.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
