{"id":"https://openalex.org/W3217122552","doi":"https://doi.org/10.1145/3454127.3460796","title":"X-ray image classification using Deep Learning method for Covid-19 diagnostic","display_name":"X-ray image classification using Deep Learning method for Covid-19 diagnostic","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3217122552","doi":"https://doi.org/10.1145/3454127.3460796","mag":"3217122552"},"language":"en","primary_location":{"id":"doi:10.1145/3454127.3460796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3454127.3460796","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/A5066723418","display_name":"Samira Achki","orcid":"https://orcid.org/0000-0003-1935-2906"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samira Achki","raw_affiliation_strings":["Faculty of Sciences and Techniques Gueliz, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Techniques Gueliz, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074376824","display_name":"Abdelali El Gourari","orcid":"https://orcid.org/0000-0002-4674-8458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelali El Gourari","raw_affiliation_strings":["Faculty of Sciences Semlalia of Marrakech, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences Semlalia of Marrakech, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030434187","display_name":"Layla Aziz","orcid":"https://orcid.org/0000-0002-6914-3021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aziz Layla","raw_affiliation_strings":["Faculty of Sciences and Techniques Gueliz, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Techniques Gueliz, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2868,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59761897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9919999837875366,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.730665922164917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6901326179504395},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6534096598625183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6477957963943481},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5810379981994629},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5769167542457581},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5625536441802979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4694977104663849},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4265597462654114},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3984709084033966},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37526702880859375},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.3619385063648224},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2089155912399292},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09760111570358276},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.09232836961746216},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08533096313476562}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.730665922164917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6901326179504395},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6534096598625183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477957963943481},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5810379981994629},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5769167542457581},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5625536441802979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4694977104663849},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4265597462654114},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3984709084033966},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37526702880859375},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3619385063648224},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2089155912399292},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09760111570358276},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.09232836961746216},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08533096313476562},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3454127.3460796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3454127.3460796","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":[{"score":0.7900000214576721,"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":9,"referenced_works":["https://openalex.org/W2009849689","https://openalex.org/W2061952363","https://openalex.org/W2256430766","https://openalex.org/W3006751003","https://openalex.org/W3012614932","https://openalex.org/W3027682070","https://openalex.org/W3087000505","https://openalex.org/W6601744372","https://openalex.org/W6774464580"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W2795259429","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Recently,":[0],"the":[1,16,28,32],"World":[2],"Health":[3],"Organization":[4],"(WHO)":[5],"was":[6],"identified":[7],"Coronavirus":[8],"COVID":[9],"19":[10],"as":[11,38],"a":[12,39],"worldwide":[13],"epidemic,":[14],"usage":[15],"techniques":[17],"for":[18,80],"early":[19,89],"diagnosis":[20],"of":[21,47,77,82],"disease":[22],"gives":[23],"fast":[24],"and":[25,49,93],"correct":[26],"results,":[27],"machine":[29],"Learning":[30],"considered":[31],"current":[33],"state-of-the-art":[34],"image":[35,79],"classification":[36,58,81],"technique":[37],"new":[40],"research":[41],"subject":[42],"in":[43,53],"an":[44,71,88],"extensive":[45],"variety":[46],"academic":[48],"industrial":[50],"IT,":[51],"particularly":[52],"healthcare.":[54],"The":[55],"Deep":[56,73],"learning":[57,74],"revolution":[59],"is":[60],"reshaping":[61],"modern":[62],"healthcare":[63],"systems":[64],"by":[65],"integrating":[66],"technological.":[67],"This":[68],"paper":[69],"presents":[70],"integrated":[72],"using":[75],"Dataset":[76],"X-ray":[78],"COVID-19,":[83],"In":[84],"order":[85],"to":[86],"have":[87],"diagnosis,":[90],"nursing":[91],"patients,":[92],"practicing":[94],"distinct":[95],"protocols":[96],"after":[97],"patient":[98],"recovery.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
