{"id":"https://openalex.org/W4296457560","doi":"https://doi.org/10.2298/csis220207033b","title":"Efficient generative transfer learning framework for the detection of COVID-19","display_name":"Efficient generative transfer learning framework for the detection of COVID-19","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296457560","doi":"https://doi.org/10.2298/csis220207033b"},"language":"en","primary_location":{"id":"doi:10.2298/csis220207033b","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis220207033b","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142200033B","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"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":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142200033B","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053994507","display_name":"J Bhuvana","orcid":null},"institutions":[{"id":"https://openalex.org/I20107917","display_name":"Sri Ramachandra Institute of Higher Education and Research","ror":"https://ror.org/0108gdg43","country_code":"IN","type":"education","lineage":["https://openalex.org/I20107917"]},{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Bhuvana","raw_affiliation_strings":["Sri Sivasubramaniya Nadar College of Engineering","Sri Sivasubramaniya Nadar College of Engineering, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering","institution_ids":["https://openalex.org/I916357946"]},{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering, Chennai, India","institution_ids":["https://openalex.org/I916357946","https://openalex.org/I20107917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076991978","display_name":"T. T. Mirnalinee","orcid":"https://orcid.org/0000-0001-6403-3520"},"institutions":[{"id":"https://openalex.org/I20107917","display_name":"Sri Ramachandra Institute of Higher Education and Research","ror":"https://ror.org/0108gdg43","country_code":"IN","type":"education","lineage":["https://openalex.org/I20107917"]},{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T.T. Mirnalinee","raw_affiliation_strings":["Sri Sivasubramaniya Nadar College of Engineering","Sri Sivasubramaniya Nadar College of Engineering, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering","institution_ids":["https://openalex.org/I916357946"]},{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering, Chennai, India","institution_ids":["https://openalex.org/I916357946","https://openalex.org/I20107917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101743078","display_name":"B. Bharathi","orcid":null},"institutions":[{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]},{"id":"https://openalex.org/I20107917","display_name":"Sri Ramachandra Institute of Higher Education and Research","ror":"https://ror.org/0108gdg43","country_code":"IN","type":"education","lineage":["https://openalex.org/I20107917"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Bharathi","raw_affiliation_strings":["Sri Sivasubramaniya Nadar College of Engineering","Sri Sivasubramaniya Nadar College of Engineering, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering","institution_ids":["https://openalex.org/I916357946"]},{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering, Chennai, India","institution_ids":["https://openalex.org/I916357946","https://openalex.org/I20107917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054658421","display_name":"Infant Sneha","orcid":null},"institutions":[{"id":"https://openalex.org/I20107917","display_name":"Sri Ramachandra Institute of Higher Education and Research","ror":"https://ror.org/0108gdg43","country_code":"IN","type":"education","lineage":["https://openalex.org/I20107917"]},{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Infant Sneha","raw_affiliation_strings":["Sri Sivasubramaniya Nadar College of Engineering","Sri Sivasubramaniya Nadar College of Engineering, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering","institution_ids":["https://openalex.org/I916357946"]},{"raw_affiliation_string":"Sri Sivasubramaniya Nadar College of Engineering, Chennai, India","institution_ids":["https://openalex.org/I916357946","https://openalex.org/I20107917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053994507"],"corresponding_institution_ids":["https://openalex.org/I20107917","https://openalex.org/I916357946"],"apc_list":null,"apc_paid":null,"fwci":0.4292,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61133574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"19","issue":"3","first_page":"1241","last_page":"1259"},"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":0.9818000197410583,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9708999991416931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8460886478424072},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.807357907295227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7504650354385376},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.738563597202301},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6802918910980225},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6576603651046753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5826531648635864},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5427361726760864},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5007946491241455},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5007431507110596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.464829683303833},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4469538927078247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44258826971054077},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4361271262168884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8460886478424072},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.807357907295227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7504650354385376},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.738563597202301},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6802918910980225},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6576603651046753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5826531648635864},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5427361726760864},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5007946491241455},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5007431507110596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.464829683303833},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4469538927078247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44258826971054077},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4361271262168884},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis220207033b","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis220207033b","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142200033B","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"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":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis220207033b","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis220207033b","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142200033B","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"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":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296457560.pdf","grobid_xml":"https://content.openalex.org/works/W4296457560.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2100495367","https://openalex.org/W2760167530","https://openalex.org/W2963300950","https://openalex.org/W2963446712","https://openalex.org/W3001118548","https://openalex.org/W3003617865","https://openalex.org/W3010604545","https://openalex.org/W3010699833","https://openalex.org/W3017521469","https://openalex.org/W3031327998","https://openalex.org/W3040660552","https://openalex.org/W3041947321","https://openalex.org/W3042426630","https://openalex.org/W3083753334","https://openalex.org/W3090140268","https://openalex.org/W3105081694","https://openalex.org/W3105777051","https://openalex.org/W3106539405","https://openalex.org/W3108656121","https://openalex.org/W3122828640","https://openalex.org/W3156342878","https://openalex.org/W3191837861","https://openalex.org/W3202945398","https://openalex.org/W4248078525"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W3091976719","https://openalex.org/W3018421652","https://openalex.org/W4312200629","https://openalex.org/W4285149559","https://openalex.org/W3021430260","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2996856019","https://openalex.org/W4220996320"],"abstract_inverted_index":{"Deep":[0,27,36],"learning":[1,28,54,76,95,154],"plays":[2],"a":[3,23],"major":[4],"role":[5],"in":[6,25,117],"detecting":[7,118,140],"the":[8,32,52,67,70,93,126,141,151,165,168],"presence":[9,142],"of":[10,19,34,69,139,143,167],"Coronavirus":[11],"2019":[12],"(COVID-19)":[13],"and":[14,83,174],"demands":[15],"huge":[16],"data.":[17,47],"Availability":[18],"annotated":[20],"data":[21],"is":[22,42,49,114,137],"hurdle":[24],"using":[26,99,130],"technique.":[29],"To":[30],"enhance":[31],"accuracy":[33],"detection":[35],"Convolutional":[37,84],"Generative":[38],"Adversarial":[39],"Network":[40,86],"(DCGAN)":[41],"used":[43],"to":[44,56,65],"generate":[45],"synthetic":[46],"Densenet-201":[48,100,108],"identified":[50],"as":[51,79,101,109,132],"deep":[53],"framework":[55],"detect":[57],"COVID-19":[58,119,144],"from":[59],"X-ray":[60],"images.":[61],"In":[62],"this":[63],"research,":[64],"validate":[66],"effectiveness":[68],"Densenet-201,":[71],"we":[72,124],"explored":[73],"conventional":[74],"machine":[75,94],"approaches":[77,96,170],"such":[78],"SVM,":[80],"Random":[81],"Forest":[82],"Neural":[85],"(CNN).":[87],"The":[88,104],"feature":[89,102,110],"map":[90],"for":[91],"training":[92],"are":[97],"extracted":[98],"extractor.":[103],"results":[105],"show":[106],"that":[107,150],"representation":[111],"with":[112,120,145,160],"SVM":[113],"performing":[115],"well":[116],"high":[121,146],"accuracy.":[122,147],"Moreover":[123],"experimented":[125],"proposed":[127,152],"methodology":[128],"without":[129],"DCGAN":[131,161],"well.":[133],"DenseNet-201":[134,158],"based":[135,156,162],"approach":[136,155],"capable":[138],"Experiments":[148],"demonstrated":[149],"transfer":[153],"on":[157],"along":[159],"augmentation":[163],"outperforms":[164],"State":[166],"art":[169],"like":[171],"ResNet50,":[172],"CNN,":[173],"VGG-16.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}