{"id":"https://openalex.org/W4206072082","doi":"https://doi.org/10.1109/bibm52615.2021.9669644","title":"Deep CNN-Based Computer-Aided Diagnosis for Drowning Detection using Post-mortem Lungs CT Images","display_name":"Deep CNN-Based Computer-Aided Diagnosis for Drowning Detection using Post-mortem Lungs CT Images","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206072082","doi":"https://doi.org/10.1109/bibm52615.2021.9669644"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669644","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5015104987","display_name":"Amber Habib Qureshi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Amber Habib Qureshi","raw_affiliation_strings":["Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031382468","display_name":"Xiaoyong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087517","display_name":"Sendai National College of Technology","ror":"https://ror.org/00293y771","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210087517"]},{"id":"https://openalex.org/I4210120810","display_name":"National Institute of Technology","ror":"https://ror.org/02xqkcw08","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaoyong Zhang","raw_affiliation_strings":["National Institute of Technology Sendai College, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Sendai College, Sendai, Japan","institution_ids":["https://openalex.org/I4210087517","https://openalex.org/I4210120810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029295124","display_name":"Kei Ichiji","orcid":"https://orcid.org/0000-0002-0072-1399"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Ichiji","raw_affiliation_strings":["Graduate School of Medicine, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Medicine, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006972527","display_name":"Yusuke Kawasumi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Kawasumi","raw_affiliation_strings":["Graduate School of Medicine, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Medicine, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013694059","display_name":"Akihito Usui","orcid":"https://orcid.org/0000-0003-1889-7496"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihito Usui","raw_affiliation_strings":["Graduate School of Medicine, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Medicine, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076458903","display_name":"Masato Funayama","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Funayama","raw_affiliation_strings":["Graduate School of Medicine, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Medicine, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021841762","display_name":"Noriyasu Homma","orcid":"https://orcid.org/0000-0001-7543-6181"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriyasu Homma","raw_affiliation_strings":["Graduate School of Medicine, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Medicine, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6053,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61241484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2309","last_page":"2313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9976999759674072,"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/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9976999759674072,"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/T11824","display_name":"Injury Epidemiology and Prevention","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7278696894645691},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.6291816234588623},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6277430653572083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6051076054573059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5353102684020996},{"id":"https://openalex.org/keywords/forensic-pathology","display_name":"Forensic pathology","score":0.49872827529907227},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4374629855155945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40260493755340576},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4024611711502075},{"id":"https://openalex.org/keywords/autopsy","display_name":"Autopsy","score":0.38195571303367615},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3421977162361145},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.25108614563941956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16340160369873047}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7278696894645691},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.6291816234588623},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6277430653572083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6051076054573059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5353102684020996},{"id":"https://openalex.org/C2779071755","wikidata":"https://www.wikidata.org/wiki/Q21685486","display_name":"Forensic pathology","level":3,"score":0.49872827529907227},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4374629855155945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40260493755340576},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4024611711502075},{"id":"https://openalex.org/C2779504383","wikidata":"https://www.wikidata.org/wiki/Q41482","display_name":"Autopsy","level":2,"score":0.38195571303367615},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3421977162361145},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.25108614563941956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16340160369873047},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669644","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5400000214576721,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332643","display_name":"School of Medicine","ror":"https://ror.org/03r0ha626"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1517963334","https://openalex.org/W1686810756","https://openalex.org/W1985361726","https://openalex.org/W2006246078","https://openalex.org/W2020868919","https://openalex.org/W2053352973","https://openalex.org/W2108598243","https://openalex.org/W2147383839","https://openalex.org/W2161381512","https://openalex.org/W2600276308","https://openalex.org/W2899061025","https://openalex.org/W3082499622","https://openalex.org/W4294375521","https://openalex.org/W6637373629","https://openalex.org/W6682778277"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W2792937266","https://openalex.org/W2579473328","https://openalex.org/W2416536400","https://openalex.org/W4383058356","https://openalex.org/W1968679330","https://openalex.org/W2606378458","https://openalex.org/W2149435501","https://openalex.org/W2047395904","https://openalex.org/W378879777"],"abstract_inverted_index":{"Drowning":[0],"death":[1],"rate":[2],"is":[3,10,53,62],"high":[4],"in":[5,18,101,158],"Japan":[6],"and":[7,65,94,115,146],"its":[8,29,47],"diagnosis":[9,75],"still":[11],"one":[12],"of":[13,21,28,42,51,106,153],"the":[14,19,25,87,150,162],"most":[15],"challenging":[16],"tasks":[17],"field":[20],"forensics":[22],"due":[23,45],"to":[24,46],"complex":[26],"interpretation":[27,41],"pathology.":[30],"Postmortem":[31],"lungs":[32,89,108,120,164],"computed":[33],"tomography":[34],"(CT)":[35],"images":[36,61,91],"can":[37],"be":[38],"used":[39],"for":[40,85,104],"forensic":[43],"pathology":[44],"benefits":[48],"but":[49],"shortage":[50],"specialists":[52],"a":[54,63,73,79,118,140],"critical":[55],"problem.":[56],"Also,":[57],"manually":[58],"interpreting":[59],"CT":[60,90,109,121,165],"tiring":[64],"time-taking":[66],"process.":[67],"In":[68],"this":[69,102],"paper,":[70],"we":[71],"proposed":[72],"computer-aided":[74],"system":[76],"based":[77],"on":[78],"deep":[80],"convolutional":[81],"neural":[82],"network":[83],"(DCNN)":[84],"classifying":[86],"post-mortem":[88,107,119,163],"into":[92],"drowning":[93,159],"non-drowning.":[95],"A":[96],"pre-trained":[97],"DCNN":[98,112],"was":[99,113,156],"implemented":[100],"study":[103],"classification":[105],"images.":[110,166],"The":[111,131,136],"trained":[114],"tested":[116],"using":[117,161],"image":[122],"database":[123],"obtained":[124],"from":[125],"Tohoku":[126],"University":[127],"Autopsy":[128],"Imaging":[129],"Center.":[130],"training":[132],"process":[133],"involves":[134],"fine-tuning.":[135],"experimental":[137],"results":[138],"demonstrated":[139],"receiver":[141],"operating":[142],"characteristic":[143],"(ROC)":[144],"curve":[145,151],"an":[147],"area":[148],"under":[149],"(AUC)":[152],"95":[154],"percent":[155],"achieved":[157],"detection":[160]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}