{"id":"https://openalex.org/W3115081522","doi":"https://doi.org/10.1109/tencon50793.2020.9293850","title":"Transfer Learning Based Method for COVID-19 Detection From Chest X-ray Images","display_name":"Transfer Learning Based Method for COVID-19 Detection From Chest X-ray Images","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3115081522","doi":"https://doi.org/10.1109/tencon50793.2020.9293850","mag":"3115081522"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5080886966","display_name":"Nayeeb Rashid","orcid":"https://orcid.org/0000-0001-9558-1925"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Nayeeb Rashid","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055505982","display_name":"Md Adnan Faisal Hossain","orcid":"https://orcid.org/0000-0003-1177-9964"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Adnan Faisal Hossain","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103326248","display_name":"Mohammad Ali","orcid":"https://orcid.org/0000-0002-9404-9301"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammad Ali","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076405964","display_name":"Mumtahina Islam Sukanya","orcid":"https://orcid.org/0000-0002-8588-011X"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mumtahina Islam Sukanya","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014251585","display_name":"Tanvir Mahmud","orcid":"https://orcid.org/0000-0003-0529-2826"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tanvir Mahmud","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074606314","display_name":"Shaikh Anowarul Fattah","orcid":"https://orcid.org/0000-0001-8090-2327"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shaikh Anowarul Fattah","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080886966"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":null,"apc_paid":null,"fwci":1.3216,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84071726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"585","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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":1.0,"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":0.9861999750137329,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9828000068664551,"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/computer-science","display_name":"Computer science","score":0.7961219549179077},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7554984092712402},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7501389980316162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6631838083267212},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6627050042152405},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6010322570800781},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.5513026714324951},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49917030334472656},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4975736439228058},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49627095460891724},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48229387402534485},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4664589464664459},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38694262504577637},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.24741217494010925},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12715622782707214},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08878931403160095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7961219549179077},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7554984092712402},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7501389980316162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6631838083267212},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6627050042152405},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6010322570800781},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.5513026714324951},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49917030334472656},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4975736439228058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49627095460891724},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48229387402534485},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4664589464664459},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38694262504577637},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.24741217494010925},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12715622782707214},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08878931403160095},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1799366690","https://openalex.org/W1994062553","https://openalex.org/W2062177968","https://openalex.org/W2074888575","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2206167351","https://openalex.org/W2274542523","https://openalex.org/W2346062110","https://openalex.org/W2442067198","https://openalex.org/W2531409750","https://openalex.org/W2533800772","https://openalex.org/W2556470218","https://openalex.org/W2574038793","https://openalex.org/W2581082771","https://openalex.org/W2592929672","https://openalex.org/W2777186991","https://openalex.org/W2788633781","https://openalex.org/W2809598685","https://openalex.org/W3001195213","https://openalex.org/W3003668884","https://openalex.org/W3006082171","https://openalex.org/W3007497549","https://openalex.org/W3008028633","https://openalex.org/W3008874180","https://openalex.org/W3009728140","https://openalex.org/W3010702679","https://openalex.org/W3011149445","https://openalex.org/W3012846954","https://openalex.org/W3013019084","https://openalex.org/W3013564598","https://openalex.org/W3013601031","https://openalex.org/W3016084006","https://openalex.org/W3017331996","https://openalex.org/W3017855299","https://openalex.org/W3023402713","https://openalex.org/W3033616466","https://openalex.org/W3105081694","https://openalex.org/W3162351260","https://openalex.org/W4300485340","https://openalex.org/W6638444622","https://openalex.org/W6694608096","https://openalex.org/W6746693533","https://openalex.org/W6774964072","https://openalex.org/W6775352234","https://openalex.org/W6775884374","https://openalex.org/W6795304270"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3103566983","https://openalex.org/W3135818718","https://openalex.org/W4290188444"],"abstract_inverted_index":{"Radiology":[0],"examination":[1],"of":[2,18,35,39,42,70,73,85,94,134,158,167,174,195,208],"chest":[3,6,71,83],"radiography":[4],"or":[5],"X-ray":[7],"(CXR),":[8],"is":[9,23,32,116],"currently":[10,33],"performed":[11],"manually":[12],"by":[13,153],"radiologists.":[14],"With":[15],"the":[16,19,36,43,91,127,132,135,148,168,172],"onset":[17],"COVID-19":[20,75],"pandemic,":[21],"there":[22],"now":[24],"a":[25,68,101,119,155,198,211],"need":[26],"to":[27,49,62,99,108,138,141,150],"automate":[28],"this":[29,58,110],"process":[30],"which":[31,181],"one":[34],"key":[37],"methods":[38],"primary":[40],"detection":[41],"SARS-Cov-2":[44],"virus.":[45],"This":[46],"will":[47],"lead":[48],"shorter":[50],"diagnosis":[51],"time":[52],"and":[53,82,105,160,187,205,214],"less":[54],"human":[55],"error.":[56],"In":[57,89],"study,":[59],"we":[60,177],"try":[61,146],"perform":[63,109],"three-class":[64],"image":[65,111],"classification":[66,112,200,216],"on":[67,118,126,197,210],"dataset":[69,92],"X-rays":[72,84],"confirmed":[74,78],"patients(408":[76],"images),":[77,81],"pneumonia":[79],"patients(4273":[80],"healthy":[86],"people(1590":[87],"images).":[88],"total":[90],"consists":[93],"6271":[95],"people.":[96],"We":[97,130,145],"aim":[98],"use":[100,178],"Convolutional":[102],"Neural":[103],"Network(CNN)":[104],"transfer":[106],"learning":[107],"task.":[113,144,217],"Our":[114,189],"model":[115],"based":[117],"pre-trained":[120],"InceptionV3":[121],"network":[122,137,149,176],"with":[123],"weights":[124],"trained":[125],"ImageNet":[128],"dataset.":[129],"fine-tune":[131],"layers":[133,159],"Inception":[136],"train":[139],"it":[140],"our":[142,175],"specific":[143],"fine-tuning":[147],"different":[151,156],"extents":[152],"freezing":[154],"number":[157],"then":[161],"comparing":[162],"accuracy":[163,194,207],"for":[164],"each":[165],"variation":[166],"network.":[169],"To":[170],"evaluate":[171],"performance":[173],"several":[179],"metrics":[180],"include":[182],"Classification":[183],"accuracy,":[184],"Precision,":[185],"Sensitivity,":[186],"Specificity.":[188],"proposed":[190],"method":[191],"achieves":[192],"an":[193,206],"96.33%":[196],"3-class":[199],"task":[201],"(Normal,":[202],"COVID-19,":[203],"Pneumonia)":[204],"99.39%":[209],"2-class":[212],"(COVID":[213],"Non-COVID)":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
