{"id":"https://openalex.org/W4225339272","doi":"https://doi.org/10.1145/3502871.3502876","title":"Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN","display_name":"Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W4225339272","doi":"https://doi.org/10.1145/3502871.3502876"},"language":"en","primary_location":{"id":"doi:10.1145/3502871.3502876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502871.3502876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 8th International Conference on Biomedical and Bioinformatics Engineering","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/A5018798290","display_name":"Yuichiro Koizumi","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichiro Koizumi","raw_affiliation_strings":["Kyushu Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020146846","display_name":"Tohru Kamiya","orcid":"https://orcid.org/0000-0002-2872-9018"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tohru Kamiya","raw_affiliation_strings":["Kyushu Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017101356","display_name":"Takatoshi Aoki","orcid":"https://orcid.org/0000-0002-7973-110X"},"institutions":[{"id":"https://openalex.org/I188700360","display_name":"University of Occupational and Environmental Health Japan","ror":"https://ror.org/020p3h829","country_code":"JP","type":"education","lineage":["https://openalex.org/I188700360"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takatoshi Aoki","raw_affiliation_strings":["University of Occupational and Environment Health, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Occupational and Environment Health, Japan","institution_ids":["https://openalex.org/I188700360"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012224052","display_name":"Shoji Kido","orcid":"https://orcid.org/0000-0001-5293-4110"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Kido","raw_affiliation_strings":["Department of Artificial Intelligence Diagnostic Radiology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Diagnostic Radiology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9987000226974487,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9983999729156494,"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/opacity","display_name":"Opacity","score":0.8166269659996033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5300405025482178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49630266427993774},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4226859211921692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3905192017555237},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2714611887931824},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12012472748756409},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06981971859931946}],"concepts":[{"id":"https://openalex.org/C60056205","wikidata":"https://www.wikidata.org/wiki/Q691914","display_name":"Opacity","level":2,"score":0.8166269659996033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5300405025482178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49630266427993774},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4226859211921692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3905192017555237},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2714611887931824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12012472748756409},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06981971859931946}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3502871.3502876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3502871.3502876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 8th International Conference on Biomedical and Bioinformatics Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1977209481","https://openalex.org/W2069959554","https://openalex.org/W2074720949","https://openalex.org/W2128659236","https://openalex.org/W2160547390","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2322371438","https://openalex.org/W2383601426","https://openalex.org/W2911606395","https://openalex.org/W6684191040","https://openalex.org/W6757175835","https://openalex.org/W6758093133","https://openalex.org/W6761113999","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"In":[0,78],"recent":[1],"years,":[2],"the":[3,15,61,65,73,76,121],"rate":[4,150,156],"of":[5,17,35,55,89,152,158,162],"deaths":[6,18],"from":[7,19,104],"cancer":[8,21],"tends":[9],"to":[10,114,126,131],"increase":[11,44],"in":[12,45],"Japan.":[13],"Especially":[14],"number":[16],"lung":[20,36,94],"is":[22,28,40,135],"increasing.":[23],"Computed":[24],"tomography":[25],"(CT)":[26],"device":[27],"effective":[29],"screening":[30],"tool":[31],"for":[32,86],"early":[33],"detection":[34,88],"cancer.":[37],"Simultaneously,":[38],"there":[39],"concern":[41],"that":[42],"an":[43],"burden":[46,74],"on":[47,75,101,140],"doctors":[48],"will":[49],"be":[50],"caused":[51],"by":[52,59,64,108],"high":[53],"performance":[54],"CT":[56,102],"improving.":[57],"Therefore,":[58],"presenting":[60],"\u201csecond":[62],"opinion\u201d":[63],"computer":[66],"aided":[67],"diagnosis":[68],"(CAD)":[69],"system,":[70],"it":[71],"reduces":[72],"doctor.":[77],"this":[79],"paper,":[80],"we":[81,146],"developed":[82],"a":[83,110,144],"CAD":[84],"system":[85],"automatic":[87],"abnormal":[90],"opacities":[91],"such":[92],"as":[93],"nodules":[95],"or":[96],"ground":[97],"glass":[98],"opacity":[99],"(GGO)":[100],"images":[103],"temporal":[105],"subtraction":[106],"image":[107],"incorporating":[109],"sparse":[111,122],"coding":[112,123],"technique":[113],"convolutional":[115],"neural":[116],"network":[117],"(CNN).":[118],"We":[119],"extend":[120],"and":[124,128,160],"CNN":[125],"3D":[127],"applied":[129],"them":[130],"32":[132],"cases":[133],"which":[134],"obtained":[136,147],"different":[137],"time":[138],"series":[139],"same":[141],"subject.":[142],"As":[143],"result,":[145],"true":[148],"positive":[149,155],"(TPR)":[151],"80.556%,":[153],"false":[154],"(FPR)":[157],"22.892%":[159],"AUC":[161],"0.768.":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}