{"id":"https://openalex.org/W4386250276","doi":"https://doi.org/10.1007/s42979-023-02094-4","title":"AutoCov22: A Customized Deep Learning Framework for COVID-19 Detection","display_name":"AutoCov22: A Customized Deep Learning Framework for COVID-19 Detection","publication_year":2023,"publication_date":"2023-08-29","ids":{"openalex":"https://openalex.org/W4386250276","doi":"https://doi.org/10.1007/s42979-023-02094-4"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-023-02094-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-023-02094-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-023-02094-4.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-023-02094-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062271000","display_name":"Biswajit Bhowmik","orcid":"https://orcid.org/0000-0001-7923-9767"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Biswajit Bhowmik","raw_affiliation_strings":["Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India"],"affiliations":[{"raw_affiliation_string":"Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026857105","display_name":"Shrinidhi Anil Varna","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shrinidhi Varna","raw_affiliation_strings":["Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India"],"affiliations":[{"raw_affiliation_string":"Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000966033","display_name":"Adarsh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Adarsh Kumar","raw_affiliation_strings":["Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India"],"affiliations":[{"raw_affiliation_string":"Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101929821","display_name":"Rahul Kumar","orcid":"https://orcid.org/0000-0002-2825-7030"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Kumar","raw_affiliation_strings":["Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India"],"affiliations":[{"raw_affiliation_string":"Ishwarchandra Vidyasagar  AIT Lab, BRICS Lab, Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062271000"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":1.4059,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81798318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":"5","first_page":null,"last_page":null},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9855999946594238,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.8012452125549316},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7779855132102966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6975550055503845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6840538382530212},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6758291721343994},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5906856060028076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5451083779335022},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5144927501678467},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.497844934463501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4977400600910187},{"id":"https://openalex.org/keywords/reproducibility","display_name":"Reproducibility","score":0.44585633277893066},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4450127184391022},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4357408881187439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38211938738822937},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17006966471672058},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1064685583114624},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.10441458225250244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09956610202789307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09406042098999023},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09225454926490784},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0740361213684082}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.8012452125549316},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7779855132102966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6975550055503845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6840538382530212},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6758291721343994},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5906856060028076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5451083779335022},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5144927501678467},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.497844934463501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4977400600910187},{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.44585633277893066},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4450127184391022},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4357408881187439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38211938738822937},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17006966471672058},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1064685583114624},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.10441458225250244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09956610202789307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09406042098999023},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09225454926490784},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0740361213684082},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-023-02094-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-023-02094-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-023-02094-4.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42979-023-02094-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-023-02094-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-023-02094-4.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386250276.pdf","grobid_xml":"https://content.openalex.org/works/W4386250276.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W2582025857","https://openalex.org/W2898280479","https://openalex.org/W3008985036","https://openalex.org/W3013507463","https://openalex.org/W3014993555","https://openalex.org/W3017855299","https://openalex.org/W3023402713","https://openalex.org/W3026627553","https://openalex.org/W3028070348","https://openalex.org/W3036688711","https://openalex.org/W3046023260","https://openalex.org/W3049131298","https://openalex.org/W3080906603","https://openalex.org/W3091282141","https://openalex.org/W3091787675","https://openalex.org/W3095828274","https://openalex.org/W3112390123","https://openalex.org/W3118483863","https://openalex.org/W3118649749","https://openalex.org/W3121668813","https://openalex.org/W3121671597","https://openalex.org/W3125080855","https://openalex.org/W3126768386","https://openalex.org/W3127875138","https://openalex.org/W3128131898","https://openalex.org/W3128511643","https://openalex.org/W3130658855","https://openalex.org/W3130742847","https://openalex.org/W3134151358","https://openalex.org/W3135243128","https://openalex.org/W3139487216","https://openalex.org/W3154862071","https://openalex.org/W3155171916","https://openalex.org/W3199147533","https://openalex.org/W3205812661","https://openalex.org/W3212340323","https://openalex.org/W4200427880","https://openalex.org/W4207056701","https://openalex.org/W4220702087","https://openalex.org/W4225597912","https://openalex.org/W4289829203","https://openalex.org/W4293868725","https://openalex.org/W4322731527","https://openalex.org/W4323041267","https://openalex.org/W4323539222","https://openalex.org/W4360612388","https://openalex.org/W4362496495","https://openalex.org/W4372269965"],"related_works":["https://openalex.org/W4206669628","https://openalex.org/W3036314732","https://openalex.org/W4205317059","https://openalex.org/W3009669391","https://openalex.org/W3127156785","https://openalex.org/W4200329650","https://openalex.org/W4382894326","https://openalex.org/W3198183218","https://openalex.org/W3176864053","https://openalex.org/W3113664224"],"abstract_inverted_index":{"The":[0],"novel":[1],"coronavirus":[2],"disease":[3],"2019":[4],"(COVID-19)":[5],"spill":[6],"has":[7],"spread":[8],"rapidly":[9],"and":[10,46,50,85,105,159,175,181,195],"appeared":[11],"as":[12,43],"a":[13,69,143,150,155,160,193],"pandemic":[14],"affecting":[15],"global":[16],"public":[17],"health.":[18],"Due":[19],"to":[20,58,113,117,127,134,178],"the":[21,26,95,108,136,189,203],"severe":[22],"challenges":[23],"faced":[24],"with":[25],"increase":[27],"of":[28,54,123,138,153,157,162],"suspected":[29],"cases,":[30],"more":[31],"testing":[32],"methods":[33,201],"are":[34,111],"explored.":[35],"These":[36],"methods,":[37],"however,":[38],"have":[39],"several":[40,200],"disadvantages,":[41],"such":[42],"test":[44],"complexity":[45],"associated":[47],"problems\u2014sensitivity,":[48],"reproducibility,":[49],"specificity.":[51],"Hence,":[52],"many":[53],"them":[55],"need":[56],"help":[57],"achieve":[59,149],"satisfactory":[60],"performance.":[61],"Motivated":[62],"by":[63,80,142],"these":[64],"shortcomings,":[65],"this":[66,124],"work":[67,125],"proposes":[68],"custom":[70],"deep":[71,92],"neural":[72,89],"network":[73],"framework":[74],"named":[75],"\u201cAutoCov22\u201d":[76],"that":[77],"detects":[78],"COVID-19":[79,119,129],"exploiting":[81],"medical":[82,97],"images\u2014chest":[83],"X-ray":[84,167],"CT-scan.":[86],"First,":[87],"multiple":[88],"networks":[90],"extract":[91],"features":[93,110],"from":[94],"input":[96],"images,":[98],"including":[99],"popularly":[100],"used":[101],"VGG16,":[102],"ResNet50,":[103],"DenseNet121,":[104],"InceptionResNetV2.":[106],"Then,":[107],"extracted":[109],"fed":[112],"different":[114],"machine-learning":[115],"techniques":[116],"identify":[118],"cases.":[120],"One":[121],"objective":[122],"is":[126,133],"quicken":[128],"detection.":[130],"Another":[131],"goal":[132],"reduce":[135],"number":[137],"falsely":[139],"detected":[140],"cases":[141],"significant":[144],"margin.":[145],"Comprehensive":[146],"simulation":[147],"results":[148,171],"classification":[151],"accuracy":[152],"99.74%,":[154],"precision":[156],"99.69%,":[158],"recall":[161,176],"98.80%":[163],"on":[164],"exercising":[165],"chest":[166],"images.":[168,187],"Extended":[169],"experiment":[170],"in":[172,184,202],"accuracy,":[173],"precision,":[174],"up":[177],"87.18%,":[179],"84.98%,":[180],"85.66%,":[182],"respectively,":[183],"processing":[185],"CT-scan":[186],"Thus,":[188],"AutoCov22":[190],"approach":[191],"demonstrates":[192],"promising":[194],"plausible":[196],"best":[197],"solution":[198],"over":[199],"state-of-the-art.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
