{"id":"https://openalex.org/W3209018428","doi":"https://doi.org/10.3906/elk-2104-184","title":"A deep transfer learning based model for automatic detection of COVID-19 from chest X-ray","display_name":"A deep transfer learning based model for automatic detection of COVID-19 from chest X-ray","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3209018428","doi":"https://doi.org/10.3906/elk-2104-184","mag":"3209018428"},"language":"en","primary_location":{"id":"doi:10.3906/elk-2104-184","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-2104-184","pdf_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1208&context=elektrik","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1208&context=elektrik","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087384478","display_name":"Prateek Chhikara","orcid":"https://orcid.org/0000-0003-4833-474X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Prateek CHHIKARA","raw_affiliation_strings":["of Computer & Engineering , of Engineering and , ,"],"raw_orcid":"https://orcid.org/0000-0003-4833-474X","affiliations":[{"raw_affiliation_string":"of Computer & Engineering , of Engineering and , ,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101920552","display_name":"Prakhar Gupta","orcid":"https://orcid.org/0000-0001-6511-1391"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prakhar GUPTA","raw_affiliation_strings":["of Computer & Engineering , of Engineering and , ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"of Computer & Engineering , of Engineering and , ,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101713874","display_name":"Prabhjot Singh","orcid":"https://orcid.org/0000-0001-5120-9443"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prabhjot SINGH","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071117578","display_name":"Tarunpreet Bhatia","orcid":"https://orcid.org/0000-0003-0434-2799"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tarunpreet BHATIA","raw_affiliation_strings":["of Computer & Engineering , of Engineering and , ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"of Computer & Engineering , of Engineering and , ,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5087384478"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6878,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84408894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"29","issue":"SI-1","first_page":"2663","last_page":"2679"},"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":0.9865999817848206,"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":0.9717000126838684,"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/deep-learning","display_name":"Deep learning","score":0.8476836681365967},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.8313652276992798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690490186214447},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6859585046768188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6322581768035889},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5808144211769104},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5253376960754395},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.46822163462638855},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41486459970474243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38999295234680176},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15684935450553894},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.15120407938957214},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1444612741470337},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.08733627200126648},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08008837699890137}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8476836681365967},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8313652276992798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690490186214447},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6859585046768188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6322581768035889},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5808144211769104},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5253376960754395},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.46822163462638855},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41486459970474243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38999295234680176},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15684935450553894},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.15120407938957214},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1444612741470337},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.08733627200126648},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08008837699890137},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3906/elk-2104-184","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-2104-184","pdf_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1208&context=elektrik","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3906/elk-2104-184","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-2104-184","pdf_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1208&context=elektrik","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209018428.pdf","grobid_xml":"https://content.openalex.org/works/W3209018428.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2895734781","https://openalex.org/W2982533493","https://openalex.org/W3008985036","https://openalex.org/W3011041531","https://openalex.org/W3013042142","https://openalex.org/W3013507463","https://openalex.org/W3013601031","https://openalex.org/W3013633552","https://openalex.org/W3014361272","https://openalex.org/W3015984951","https://openalex.org/W3016488464","https://openalex.org/W3017403618","https://openalex.org/W3017855299","https://openalex.org/W3019531985","https://openalex.org/W3020923611","https://openalex.org/W3022554629","https://openalex.org/W3025504737","https://openalex.org/W3025953162","https://openalex.org/W3033616466","https://openalex.org/W3036908895","https://openalex.org/W3037662149","https://openalex.org/W3083753334","https://openalex.org/W3093354398","https://openalex.org/W3108666478","https://openalex.org/W3120327591","https://openalex.org/W3122962899","https://openalex.org/W3162351260","https://openalex.org/W3164778242","https://openalex.org/W4287755511","https://openalex.org/W4288356534","https://openalex.org/W4300485340"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3176438653","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W4323287533"],"abstract_inverted_index":{"Deep":[0],"learning":[1,69],"in":[2,36,107],"medical":[3,11,174],"imaging":[4],"has":[5,150],"revolutionized":[6],"the":[7,25,30,34,56,67,102,160,168,183],"way":[8],"we":[9,82,109],"interpret":[10],"data,":[12],"as":[13,74],"high":[14],"computational":[15],"devices'":[16],"capabilities":[17],"are":[18],"far":[19],"more":[20],"than":[21],"their":[22],"creators.":[23],"With":[24],"pandemic":[26,85],"causing":[27],"havoc":[28],"for":[29,93],"second":[31],"straight":[32],"year,":[33],"findings":[35],"our":[37],"paper":[38,60],"will":[39],"allow":[40],"researchers":[41],"worldwide":[42],"to":[43,49,77,173,176],"use":[44],"and":[45,115,144,157,181],"create":[46],"state-of-the-art":[47,125],"models":[48,70],"detect":[50],"affected":[51],"persons":[52],"before":[53],"it":[54],"reaches":[55],"R":[57],"number.":[58],"The":[59,118,128,147,164],"proposes":[61],"an":[62,75,152],"automated":[63],"diagnostic":[64],"tool":[65],"using":[66,101],"deep":[68,89,169],"on":[71,133,159],"chest":[72,99],"x-rays":[73,100],"input":[76],"reach":[78],"a":[79],"point":[80],"where":[81],"surpass":[83],"this":[84],"(COVID-19":[86],"disease).":[87],"A":[88],"transfer":[90],"learning-based":[91],"model":[92,104,149],"automatic":[94],"detection":[95],"of":[96,154],"COVID-19":[97,136],"from":[98],"Inception-V3":[103],"is":[105,121,131],"proposed,":[106],"which":[108],"added":[110],"flattening,":[111],"node":[112],"dropping,":[113],"normalization,":[114],"dense":[116],"layer.":[117],"proposed":[119,148,165],"architecture":[120],"compared":[122],"with":[123,139],"existing":[124],"ImageNet":[126],"models.":[127],"model?s":[129],"efficacy":[130],"tested":[132],"three":[134,140],"different":[135],"radiography":[137],"datasets":[138],"classes:":[141],"COVID,":[142],"normal,":[143],"viral":[145],"pneumonia.":[146],"reached":[151],"accuracy":[153],"97.7%,":[155],"84.95%,":[156],"97.03%":[158],"mentioned":[161],"datasets,":[162],"respectively.":[163],"work":[166],"introduces":[167],"neural":[170],"networks":[171],"applied":[172],"images":[175],"analyze":[177],"image":[178],"enhancement":[179],"techniques":[180],"emphasize":[182],"field's":[184],"clinical":[185],"aspects.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2025-10-10T00:00:00"}