{"id":"https://openalex.org/W4390971220","doi":"https://doi.org/10.1109/bibm58861.2023.10385301","title":"Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion","display_name":"Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971220","doi":"https://doi.org/10.1109/bibm58861.2023.10385301"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385301","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5064072238","display_name":"Zhikang Xu","orcid":"https://orcid.org/0000-0002-8607-8209"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhikang Xu","raw_affiliation_strings":["Shanghai University,School of Computer Eng. and Sci,Shanghai,China","School of Computer Eng. and Sci, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Computer Eng. and Sci,Shanghai,China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Computer Eng. and Sci, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075095237","display_name":"Xiaodong Yue","orcid":"https://orcid.org/0000-0002-0536-1345"},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Yue","raw_affiliation_strings":["Shanghai University,School of Future Technology Institute of Artificial Intelligence,Shanghai,China","School of Future Technology Institute of Artificial Intelligence, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Future Technology Institute of Artificial Intelligence,Shanghai,China","institution_ids":["https://openalex.org/I67001856"]},{"raw_affiliation_string":"School of Future Technology Institute of Artificial Intelligence, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006352222","display_name":"Bofeng Zhang","orcid":"https://orcid.org/0000-0002-5001-1096"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bofeng Zhang","raw_affiliation_strings":["Shanghai Polytechnic University,School of Computer and Information Eng,Shanghai,China","School of Computer and Information Eng, Shanghai Polytechnic University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,School of Computer and Information Eng,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]},{"raw_affiliation_string":"School of Computer and Information Eng, Shanghai Polytechnic University, Shanghai, China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102807114","display_name":"Ying Lv","orcid":"https://orcid.org/0000-0002-7704-586X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Lv","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory,Shanghai,China","Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory,Shanghai,China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073205028","display_name":"Zhipeng Wei","orcid":"https://orcid.org/0000-0002-0492-9365"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Wei","raw_affiliation_strings":["Shanghai University,School of Medicine,Shanghai,China","School of Medicine, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Medicine,Shanghai,China","institution_ids":["https://openalex.org/I113940042","https://openalex.org/I141962983"]},{"raw_affiliation_string":"School of Medicine, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064072238"],"corresponding_institution_ids":["https://openalex.org/I113940042","https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":0.1623,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55384099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"949","last_page":"952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9968000054359436,"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/T10862","display_name":"AI in cancer detection","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7078378200531006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6955224275588989},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6789074540138245},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.664398729801178},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.604190468788147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5768125057220459},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.49769309163093567},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49262887239456177},{"id":"https://openalex.org/keywords/dempster\u2013shafer-theory","display_name":"Dempster\u2013Shafer theory","score":0.4747978746891022},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.43085065484046936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3771597445011139},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3674243092536926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3420315980911255},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.18750318884849548}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7078378200531006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6955224275588989},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6789074540138245},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.664398729801178},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.604190468788147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5768125057220459},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.49769309163093567},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49262887239456177},{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.4747978746891022},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43085065484046936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3771597445011139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3674243092536926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3420315980911255},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.18750318884849548},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385301","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W3108870912","https://openalex.org/W3122155873","https://openalex.org/W3126558081","https://openalex.org/W3139434170","https://openalex.org/W4234587807","https://openalex.org/W4283800180","https://openalex.org/W4382318894","https://openalex.org/W6631216910","https://openalex.org/W6788887552"],"related_works":["https://openalex.org/W2351346819","https://openalex.org/W2354401597","https://openalex.org/W4296215420","https://openalex.org/W1890965271","https://openalex.org/W2382262264","https://openalex.org/W2134163741","https://openalex.org/W2116016866","https://openalex.org/W2348281189","https://openalex.org/W2780366513","https://openalex.org/W60475701"],"abstract_inverted_index":{"Fine-Grained":[0],"Medical":[1],"Image":[2],"Classification":[3],"(FGMIC)":[4],"aims":[5],"to":[6,15,45,76,107],"identify":[7],"disease":[8],"subclasses":[9],"within":[10],"the":[11,23,30,33,51,94,109,117,142,148,204],"corresponding":[12,110],"metaclass.":[13],"Due":[14],"insufficient":[16],"labeled":[17],"images":[18],"and":[19,29,49,139,202],"confusing":[20],"image":[21,121],"samples,":[22],"accuracy":[24],"of":[25,32,53,100,112,122,141,151],"FGMIC":[26,54,62],"is":[27,35,154,164,175],"limited":[28],"trustworthiness":[31,52],"model":[34],"also":[36,199],"affected.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,60,71],"utilize":[42],"evidence":[43,57,90,99,111,171,190],"theory":[44],"measure":[46],"prediction":[47,196],"uncertainty":[48,201],"improve":[50,195,203],"through":[55,93],"multiple":[56,189],"fusion.":[58,179],"Specifically,":[59],"consider":[61],"as":[63],"a":[64,123,167],"hierarchical":[65],"classification":[66,78,170,185],"process.":[67],"At":[68],"each":[69,152],"layer,":[70],"construct":[72],"an":[73],"evidential":[74,149],"classifier":[75,150,163],"extract":[77],"evidence.":[79,87],"Evidence":[80],"extracted":[81],"from":[82,172],"all":[83],"layers":[84],"forms":[85],"multi-grained":[86,89],"Then,":[88,169],"are":[91],"fused":[92,176],"Dirichlet":[95],"hyper-PDF,":[96],"so":[97],"that":[98,188],"coarse-grained":[101],"layer":[102,114,153],"classes":[103],"can":[104,125,192],"be":[105,127],"used":[106],"enhance":[108],"fine-grained":[113],"classes.":[115],"Moreover,":[116],"scanned":[118],"3D":[119],"medical":[120],"patient":[124],"generally":[126],"divided":[128],"into":[129,156],"three":[130,157],"2D":[131],"views,":[132],"with":[133],"different":[134,137,173],"views":[135,174],"containing":[136],"features":[138],"uncertainties":[140],"pathological":[143],"region.":[144],"Inspired":[145],"by":[146],"this,":[147],"split":[155],"sub-evidential":[158,162],"classifiers,":[159],"where":[160],"one":[161],"built":[165],"on":[166,181],"view.":[168],"using":[177],"uncertainty-weighted":[178],"Experiments":[180],"two":[182],"cancer":[183],"subtype":[184],"tasks":[186],"validate":[187],"fusion":[191],"not":[193],"only":[194],"accuracy,":[197],"but":[198],"reduce":[200],"trustworthiness.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}