{"id":"https://openalex.org/W3002408368","doi":"https://doi.org/10.1145/3372454.3372461","title":"Performance Analysis of Deep Learning Network Models of Localized Images in Chest X-ray Decision Support System","display_name":"Performance Analysis of Deep Learning Network Models of Localized Images in Chest X-ray Decision Support System","publication_year":2019,"publication_date":"2019-11-20","ids":{"openalex":"https://openalex.org/W3002408368","doi":"https://doi.org/10.1145/3372454.3372461","mag":"3002408368"},"language":"en","primary_location":{"id":"doi:10.1145/3372454.3372461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372454.3372461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Big Data Research","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/A5063216952","display_name":"Ari Wibisono","orcid":"https://orcid.org/0000-0002-2652-3227"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Ari Wibisono","raw_affiliation_strings":["Universitas Indonesia, Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067896571","display_name":"Jihan Adibah","orcid":null},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Jihan Adibah","raw_affiliation_strings":["Universitas Indonesia, Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041901625","display_name":"Faisal Satrio Priatmadji","orcid":null},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Faisal Satrio Priatmadji","raw_affiliation_strings":["Universitas Indonesia, Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077532441","display_name":"Nabilah Zhafira Viderisa","orcid":null},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nabilah Zhafira Viderisa","raw_affiliation_strings":["Universitas Indonesia, Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050604231","display_name":"Aisyah Husna","orcid":null},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aisyah Husna","raw_affiliation_strings":["Universitas Indonesia, Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004862325","display_name":"Petrus Mursanto","orcid":"https://orcid.org/0000-0002-4831-4629"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Petrus Mursanto","raw_affiliation_strings":["Universitas Indonesia, Depok, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Indonesia, Depok, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063216952"],"corresponding_institution_ids":["https://openalex.org/I29617571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23874141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9970999956130981,"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":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.8649321794509888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7917565107345581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7089008688926697},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6048510074615479},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5903712511062622},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5802528858184814},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4566537141799927},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.4438445270061493},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4179779887199402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3460181951522827},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10836726427078247}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8649321794509888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7917565107345581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7089008688926697},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6048510074615479},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5903712511062622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5802528858184814},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4566537141799927},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.4438445270061493},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4179779887199402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3460181951522827},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10836726427078247},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3372454.3372461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372454.3372461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Big Data Research","raw_type":"proceedings-article"},{"id":"mag:3160751509","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002224207814724","pdf_url":null,"source":{"id":"https://openalex.org/S4306500161","display_name":"ACM Proceedings","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"ACM Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2076063813","https://openalex.org/W2151460114","https://openalex.org/W2158698691","https://openalex.org/W2176950688","https://openalex.org/W2183341477","https://openalex.org/W2549514639","https://openalex.org/W2557738935","https://openalex.org/W2565516711","https://openalex.org/W2581082771","https://openalex.org/W2611650229","https://openalex.org/W2919115771","https://openalex.org/W2963967185","https://openalex.org/W2964350391","https://openalex.org/W3101156210","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W2585432886","https://openalex.org/W2165991108","https://openalex.org/W3082895349","https://openalex.org/W2565516711","https://openalex.org/W3004069267","https://openalex.org/W4327774331","https://openalex.org/W3136021864","https://openalex.org/W2572334665","https://openalex.org/W2248239756","https://openalex.org/W3040832198"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,27,67,107,126,161,202,208],"implementation":[2],"of":[3,9,26,29,41,44,100,122,150,167,173,177],"deep":[4,30,64,70,97,102,144,211],"learning":[5,31,71,103,145,212],"in":[6,20,39],"various":[7],"fields":[8],"data":[10,14,51],"mining":[11],"and":[12,48,125,169,187,198],"big":[13],"analytics":[15],"has":[16],"been":[17],"widely":[18,73],"used":[19,74],"many":[21],"applications.":[22],"This":[23],"happens":[24],"because":[25],"ability":[28],"to":[32,35,79,94,136,200,206],"be":[33,60],"able":[34],"have":[36,55],"excellent":[37],"performance":[38,98,140,156],"terms":[40],"predicting":[42],"cases":[43],"classification,":[45],"features":[46],"engineering,":[47],"clustering.":[49],"Images":[50],"or":[52,87,204],"texts":[53],"that":[54],"large":[56],"dimensions":[57],"can":[58],"also":[59,193],"processed":[61],"iteratively":[62],"by":[63,157],"learning.":[65],"In":[66,89],"medical":[68],"field,":[69],"is":[72,128,135],"as":[75],"computer-aided":[76],"detection":[77],"(CAD)":[78],"provide":[80,188],"a":[81,96,138,151,195],"decision":[82,111],"support":[83,112],"system":[84,113],"for":[85,106,142],"radiologists":[86],"practitioners.":[88],"this":[90],"research,":[91],"we":[92],"try":[93],"do":[95],"evaluation":[99,153,166],"several":[101],"network":[104,146,213],"models":[105],"Chest":[108],"X-ray":[109,116],"disease":[110],"(DSS).":[114],"These":[115],"images":[117],"are":[118],"enormous,":[119],"it":[120],"consists":[121,149],"110,120":[123],"images,":[124],"size":[127],"about":[129],"44":[130],"GB.":[131],"Our":[132],"primary":[133],"interest":[134],"get":[137],"detailed":[139],"profile":[141],"every":[143],"model.":[147,214],"It":[148],"few":[152,196],"aspects,":[154],"accuracy":[155],"using":[158],"areas":[159],"under":[160],"receiver":[162],"operating":[163],"characteristic":[164],"(AUROC),":[165],"training":[168],"testing":[170],"time,":[171],"investigation":[172],"memory":[174],"usage,":[175,182],"observation":[176],"central":[178],"processing":[179],"unit":[180],"(CPU)":[181],"graphics":[183],"processor":[184],"power":[185],"consumption,":[186],"some":[189],"improvement":[190],"solutions.":[191],"We":[192],"offered":[194],"solutions":[197],"suggestions":[199],"help":[201],"doctor":[203],"practitioner":[205],"select":[207],"most":[209],"effective":[210]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}