{"id":"https://openalex.org/W3217012633","doi":"https://doi.org/10.1145/3454127.3457615","title":"Detection of COVID-19 from Chest X-ray images using Deep learning","display_name":"Detection of COVID-19 from Chest X-ray images using Deep learning","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3217012633","doi":"https://doi.org/10.1145/3454127.3457615","mag":"3217012633"},"language":"en","primary_location":{"id":"doi:10.1145/3454127.3457615","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3454127.3457615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Networking, Information Systems &amp; Security","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/A5085997339","display_name":"Insaf Bellamine","orcid":"https://orcid.org/0000-0002-9339-6934"},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Insaf Bellamine","raw_affiliation_strings":["Faculty of Sciences chouaib Doukkali University, Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences chouaib Doukkali University, Morocco","institution_ids":["https://openalex.org/I4210125507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028478994","display_name":"Hakim Nasaoui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hakim Nasaoui","raw_affiliation_strings":["Faculty of Sciences chouaib Doukkali University, Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences chouaib Doukkali University, Morocco","institution_ids":["https://openalex.org/I4210125507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101434149","display_name":"Hassan Silkan","orcid":"https://orcid.org/0009-0007-3869-5652"},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hassan Silkan","raw_affiliation_strings":["Faculty of Sciences chouaib Doukkali University, Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences chouaib Doukkali University, Morocco","institution_ids":["https://openalex.org/I4210125507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085997339"],"corresponding_institution_ids":["https://openalex.org/I4210125507"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24186039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9900000095367432,"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":0.9886000156402588,"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.8062065839767456},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7215390205383301},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6574258804321289},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.5627453923225403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5406240224838257},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.5311473608016968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5271902680397034},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.506965160369873},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.44167372584342957},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4202672839164734},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.3973287343978882},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3898554742336273},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.30909663438796997},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.29594460129737854},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.21192559599876404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1635461151599884},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.145714670419693}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.8062065839767456},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7215390205383301},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6574258804321289},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.5627453923225403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5406240224838257},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.5311473608016968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5271902680397034},{"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":0.506965160369873},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.44167372584342957},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4202672839164734},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.3973287343978882},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3898554742336273},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.30909663438796997},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.29594460129737854},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.21192559599876404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1635461151599884},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.145714670419693},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3454127.3457615","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3454127.3457615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Networking, Information Systems &amp; Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1969219815","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2755970415","https://openalex.org/W2963059730","https://openalex.org/W3003217347","https://openalex.org/W3003465021","https://openalex.org/W3006627382","https://openalex.org/W3006792870","https://openalex.org/W3006882119","https://openalex.org/W3008627141","https://openalex.org/W3010278110","https://openalex.org/W3010702679","https://openalex.org/W3017855299","https://openalex.org/W3200499182","https://openalex.org/W4246697656","https://openalex.org/W6600120041","https://openalex.org/W6774668098"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4387678054","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W4221148444","https://openalex.org/W4226054107","https://openalex.org/W4306784355","https://openalex.org/W4246226292","https://openalex.org/W2378327072","https://openalex.org/W326517241"],"abstract_inverted_index":{"COVID-19":[0,30,42,76,117],"is":[1,31,43,89,109,119],"the":[2,7,22,39,60,103,112],"infectious":[3],"disease":[4,18],"caused":[5],"by":[6],"last":[8],"corona":[9],"virus":[10,16],"that":[11,88],"was":[12,19],"discovered.":[13],"This":[14],"new":[15,85],"and":[17,34,75,95,111],"unknown":[20],"before":[21],"outbreak":[23],"in":[24,27,59],"Wuhan,":[25],"China,":[26],"December":[28],"2019.":[29],"now":[32],"pandemic":[33],"affects":[35],"many":[36],"countries":[37],"around":[38],"world.":[40],"Since":[41],"a":[44,84,90],"type":[45],"of":[46,62,92,102],"flu,":[47],"it":[48],"can":[49],"be":[50],"diagnosed":[51],"using":[52],"radiology":[53],"imaging":[54],"techniques.":[55],"With":[56],"rapid":[57],"development":[58],"field":[61],"deep":[63],"learning,":[64],"there":[65],"had":[66],"been":[67],"intelligent":[68],"systems":[69],"to":[70],"classify":[71],"between":[72],"normal,":[73],"pneumonia":[74],"patients.":[77],"In":[78],"this":[79],"study,":[80],"we":[81],"have":[82],"proposed":[83,104],"neural":[86],"network":[87,105],"concatenation":[91],"VGG16,":[93],"ResNet-50":[94],"Xception":[96],"networks.":[97],"The":[98],"overall":[99],"average":[100,113],"accuracy":[101,114],"for":[106,115],"all":[107],"classes":[108],"98%,":[110],"detecting":[116],"cases":[118],"100%.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
