{"id":"https://openalex.org/W2774964116","doi":"https://doi.org/10.1109/bibm.2017.8217831","title":"Improving the generalization of disease stage classification with deep CNN for Glioma histopathological images","display_name":"Improving the generalization of disease stage classification with deep CNN for Glioma histopathological images","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2774964116","doi":"https://doi.org/10.1109/bibm.2017.8217831","mag":"2774964116"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5053842118","display_name":"Asami Yonekura","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Asami Yonekura","raw_affiliation_strings":["Graduate School of Engineering, Mie University, Kurima-machiya, Tsu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Mie University, Kurima-machiya, Tsu, Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072210286","display_name":"Hiroharu Kawanaka","orcid":"https://orcid.org/0009-0007-6601-9213"},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroharu Kawanaka","raw_affiliation_strings":["Graduate School of Engineering, Mie University, Kurima-machiya, Tsu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Mie University, Kurima-machiya, Tsu, Japan","institution_ids":["https://openalex.org/I178574317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017246903","display_name":"V. B. Surya Prasath","orcid":"https://orcid.org/0000-0001-7163-7453"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V.B. Surya Prasath","raw_affiliation_strings":["Department of Computer Science, Computational Imaging and VisAnalysis (CIVA) Lab, University of Missouri, Columbia, MO, US"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Computational Imaging and VisAnalysis (CIVA) Lab, University of Missouri, Columbia, MO, US","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064856328","display_name":"Bruce J. Aronow","orcid":"https://orcid.org/0000-0001-5109-6514"},"institutions":[{"id":"https://openalex.org/I1285204247","display_name":"Cincinnati Children's Hospital Medical Center","ror":"https://ror.org/01hcyya48","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1285204247"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce J. Aronow","raw_affiliation_strings":["Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center (CCHMC), Cincinnati, OH, USA"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center (CCHMC), Cincinnati, OH, USA","institution_ids":["https://openalex.org/I1285204247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110470876","display_name":"Haruhiko Takase","orcid":null},"institutions":[{"id":"https://openalex.org/I178574317","display_name":"Mie University","ror":"https://ror.org/01529vy56","country_code":"JP","type":"education","lineage":["https://openalex.org/I178574317"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruhiko Takase","raw_affiliation_strings":["Graduate School of Engineering, Mie University, Kurima-machiya, Tsu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Mie University, Kurima-machiya, Tsu, Japan","institution_ids":["https://openalex.org/I178574317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053842118"],"corresponding_institution_ids":["https://openalex.org/I178574317"],"apc_list":null,"apc_paid":null,"fwci":1.3651,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86394518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9955000281333923,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7575212121009827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7313326001167297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6920746564865112},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.666516900062561},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.6316413283348083},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.5846000909805298},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5578448176383972},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.5314646363258362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5101552605628967},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5078034996986389},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.4889787435531616},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4359918236732483},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.3846856951713562},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18308743834495544},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14059001207351685}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7575212121009827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7313326001167297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920746564865112},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.666516900062561},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.6316413283348083},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.5846000909805298},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5578448176383972},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.5314646363258362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5101552605628967},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5078034996986389},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.4889787435531616},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4359918236732483},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.3846856951713562},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18308743834495544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14059001207351685},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0},{"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/bibm.2017.8217831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2059223517","https://openalex.org/W2103243046","https://openalex.org/W2122654471","https://openalex.org/W2124155137","https://openalex.org/W2124833098","https://openalex.org/W2212005762","https://openalex.org/W2253429366","https://openalex.org/W2339843299","https://openalex.org/W2345010043","https://openalex.org/W2419518659","https://openalex.org/W2511666991","https://openalex.org/W2555035203","https://openalex.org/W2755659513","https://openalex.org/W2798367158","https://openalex.org/W6600893292","https://openalex.org/W6744304212","https://openalex.org/W6750638478"],"related_works":["https://openalex.org/W3039419443","https://openalex.org/W4386772532","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/W4308553438","https://openalex.org/W1975433143"],"abstract_inverted_index":{"In":[0,98],"the":[1,38,43,56,74,143],"field":[2],"of":[3,37,58,73],"histopathology,":[4],"computer-assisted":[5],"diagnosis":[6,13],"systems":[7],"are":[8],"important":[9],"in":[10,150],"obtaining":[11],"patient-specific":[12],"for":[14,29,79,90,109,131,147],"various":[15],"diseases":[16],"and":[17,51,66,82,92,105],"help":[18],"define":[19],"precision":[20],"medicine.":[21],"Therefore,":[22,84],"many":[23],"studies":[24],"on":[25,138,142],"automatic":[26,93,113],"analysis":[27,94,115],"methods":[28,116],"digital":[30],"pathology":[31],"images":[32,111],"have":[33],"been":[34],"reported.":[35],"One":[36],"severe":[39],"brain":[40,148],"tumors":[41],"is":[42,64,67,86],"Glioma":[44,110],"can":[45],"provide":[46],"unique":[47],"insights":[48],"into":[49],"identifying":[50],"grading":[52],"disease":[53,106,132],"stages.":[54],"However,":[55],"number":[57],"tissue":[59],"samples":[60],"to":[61,70,95],"be":[62],"examined":[63],"enormous,":[65],"a":[68,87,123],"burden":[69],"pathologists":[71],"because":[72],"tedious":[75],"manual":[76],"evaluation":[77],"required":[78],"efficient":[80],"decision-making":[81],"diagnosis.":[83],"there":[85],"strong":[88],"demand":[89],"quick":[91],"do":[96],"that.":[97],"this":[99],"study,":[100],"we":[101,135],"consider":[102],"feature":[103],"extraction":[104],"stage":[107,133],"classification":[108,134],"using":[112],"image":[114,139],"with":[117],"deep":[118,126],"learning":[119],"techniques.":[120],"By":[121],"devising":[122],"custom":[124],"made":[125],"convolutional":[127],"neural":[128],"network":[129],"(CNN)":[130],"apply":[136],"it":[137],"data":[140],"available":[141],"cancer":[144],"genome":[145],"atlas":[146],"glioma":[149],"histopathology.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}