{"id":"https://openalex.org/W3011981424","doi":"https://doi.org/10.5220/0008927002860293","title":"A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images","display_name":"A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011981424","doi":"https://doi.org/10.5220/0008927002860293","mag":"3011981424"},"language":"en","primary_location":{"id":"doi:10.5220/0008927002860293","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008927002860293","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0008927002860293","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055473324","display_name":"Kh Tohidul Islam","orcid":"https://orcid.org/0000-0003-2172-7041"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Kh Islam","raw_affiliation_strings":["Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054649005","display_name":"Sudanthi Wijewickrema","orcid":"https://orcid.org/0000-0001-8015-8577"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sudanthi Wijewickrema","raw_affiliation_strings":["Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065566992","display_name":"Aaron M. Collins","orcid":"https://orcid.org/0000-0002-5943-8467"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aaron Collins","raw_affiliation_strings":["Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027127816","display_name":"Stephen O\u2019Leary","orcid":"https://orcid.org/0000-0001-6926-2103"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stephen O\u2019Leary","raw_affiliation_strings":["Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Surgery (Otolaryngology), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia, --- Select a Country ---","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055473324"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":1.7621,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87403603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"293"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9853000044822693,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/transfer-of-learning","display_name":"Transfer of learning","score":0.62779301404953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6114628314971924},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.5283920168876648},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4527181088924408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4470849633216858},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.32884782552719116},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2915074825286865},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08393910527229309}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.62779301404953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6114628314971924},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.5283920168876648},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4527181088924408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4470849633216858},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.32884782552719116},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2915074825286865},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08393910527229309}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0008927002860293","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008927002860293","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0008927002860293","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008927002860293","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8600000143051147,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1686810756","https://openalex.org/W1994616650","https://openalex.org/W2051812123","https://openalex.org/W2108598243","https://openalex.org/W2149933564","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2294712740","https://openalex.org/W2592929672","https://openalex.org/W2607941059","https://openalex.org/W2770241596","https://openalex.org/W2788633781","https://openalex.org/W2791864097","https://openalex.org/W2899771611","https://openalex.org/W2919115771","https://openalex.org/W2953477045"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W2889705046","https://openalex.org/W4213299466","https://openalex.org/W3018421652","https://openalex.org/W3091976719","https://openalex.org/W4292874285","https://openalex.org/W4382286161","https://openalex.org/W3195938642","https://openalex.org/W4312200629","https://openalex.org/W3031818154"],"abstract_inverted_index":{"Pneumonia":[0],"occurs":[1],"when":[2],"the":[3,17,55,114,154,167,202],"lungs":[4],"are":[5,32],"infected":[6],"by":[7,45,50],"a":[8,92,122,126,139,145],"bacterial,":[9],"viral,":[10],"or":[11],"fungal":[12],"infection.":[13],"Globally,":[14],"it":[15,112],"is":[16,101,133,144,189],"largest":[18],"solo":[19],"infectious":[20],"disease":[21,31],"causing":[22],"child":[23],"mortality.":[24],"Early":[25],"diagnosis":[26,42,84],"and":[27,104,180,213],"treatment":[28],"of":[29,54,85,95,116,156,166],"this":[30,149],"critical":[33],"to":[34,69,79,106,135,148,160,193,211],"avoid":[35],"death,":[36],"especially":[37],"in":[38,63,82,108],"infants.":[39],"Traditionally,":[40],"pneumonia":[41,162],"was":[43],"performed":[44],"expert":[46,70],"radiologists":[47],"and/or":[48],"doctors":[49],"analysing":[51],"X-ray":[52,164],"images":[53,165],"chest.":[56,168],"Automated":[57],"diagnostic":[58],"methods":[59,208],"have":[60],"been":[61,77],"developed":[62],"recent":[64],"years":[65],"as":[66,111,177],"an":[67,129,182,190],"alternative":[68],"diagnosis.":[71],"Deep":[72],"learning-based":[73],"image":[74],"processing":[75],"has":[76],"shown":[78],"be":[80,136],"effective":[81,191],"automated":[83],"pneumonia.":[86,195],"However,":[87],"deep":[88,157],"leaning":[89],"typically":[90],"requires":[91,113],"large":[93],"number":[94],"labelled":[96,131],"samples":[97],"for":[98,125,138],"training,":[99],"which":[100],"time":[102],"consuming":[103],"expensive":[105],"obtain":[107],"medical":[109],"applications":[110],"input":[115],"human":[117],"experts.":[118],"Transfer":[119],"learning,":[120],"where":[121],"model":[123],"pretrained":[124,175],"task":[127],"on":[128,186],"existing":[130,207],"database":[132],"adapted":[134],"reused":[137],"different":[140],"but":[141],"related":[142],"task,":[143],"common":[146],"workaround":[147],"issue.":[150],"Here,":[151],"we":[152],"explore":[153],"use":[155],"transfer":[158],"learning":[159],"diagnose":[161,194],"using":[163,172],"We":[169,196],"demonstrate":[170],"that":[171,201],"two":[173],"individual":[174],"models":[176],"feature":[178],"extractors":[179],"training":[181],"artificial":[183],"neural":[184],"network":[185],"these":[187],"features":[188],"way":[192],"also":[197],"show":[198],"through":[199],"experiments":[200],"proposed":[203],"method":[204],"outperforms":[205],"similar":[206],"with":[209],"respect":[210],"accuracy":[212],"time.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
