{"id":"https://openalex.org/W4311610036","doi":"https://doi.org/10.1145/3576898","title":"Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging","display_name":"Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4311610036","doi":"https://doi.org/10.1145/3576898"},"language":"en","primary_location":{"id":"doi:10.1145/3576898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3576898","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-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/A5049492172","display_name":"Robert Hertel","orcid":"https://orcid.org/0000-0003-4288-9939"},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"education","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Hertel","raw_affiliation_strings":["Lakehead University, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0003-4288-9939","affiliations":[{"raw_affiliation_string":"Lakehead University, Ontario, Canada","institution_ids":["https://openalex.org/I72541430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008218083","display_name":"Rachid Benlamri","orcid":"https://orcid.org/0000-0001-5146-2326"},"institutions":[{"id":"https://openalex.org/I4210105992","display_name":"Qatar Science and Technology Park","ror":"https://ror.org/01gshyb58","country_code":"QA","type":"archive","lineage":["https://openalex.org/I4210105992"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Rachid Benlamri","raw_affiliation_strings":["University of Doha for Science and Technology, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0001-5146-2326","affiliations":[{"raw_affiliation_string":"University of Doha for Science and Technology, Doha, Qatar","institution_ids":["https://openalex.org/I4210105992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9545,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86122449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"55","issue":"12","first_page":"1","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980000257492065,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/computer-science","display_name":"Computer science","score":0.7481653094291687},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6551300287246704},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6392479538917542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6211473345756531},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.46915993094444275},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4537447392940521},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.428634375333786},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.410777747631073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4057021141052246},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2666167616844177},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.22400271892547607},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.22211399674415588},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.16056528687477112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481653094291687},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6551300287246704},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6392479538917542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6211473345756531},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.46915993094444275},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4537447392940521},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.428634375333786},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.410777747631073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4057021141052246},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2666167616844177},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.22400271892547607},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.22211399674415588},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.16056528687477112}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3576898","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3576898","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":110,"referenced_works":["https://openalex.org/W1529817821","https://openalex.org/W1890834058","https://openalex.org/W1901129140","https://openalex.org/W1969679036","https://openalex.org/W1969734756","https://openalex.org/W1979300931","https://openalex.org/W2075894130","https://openalex.org/W2097117768","https://openalex.org/W2112504244","https://openalex.org/W2118500472","https://openalex.org/W2130147855","https://openalex.org/W2136860319","https://openalex.org/W2142826382","https://openalex.org/W2162745921","https://openalex.org/W2163605009","https://openalex.org/W2163872762","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2239877547","https://openalex.org/W2322379301","https://openalex.org/W2405680777","https://openalex.org/W2414203819","https://openalex.org/W2509607465","https://openalex.org/W2541148949","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2611650229","https://openalex.org/W2738900493","https://openalex.org/W2769848455","https://openalex.org/W2777356512","https://openalex.org/W2788633781","https://openalex.org/W2793022250","https://openalex.org/W2802130527","https://openalex.org/W2884436604","https://openalex.org/W2921237545","https://openalex.org/W2949208911","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963446712","https://openalex.org/W2964309882","https://openalex.org/W2969265612","https://openalex.org/W2994754739","https://openalex.org/W2996290406","https://openalex.org/W2999355706","https://openalex.org/W3001118548","https://openalex.org/W3004668429","https://openalex.org/W3007497549","https://openalex.org/W3008827533","https://openalex.org/W3008985036","https://openalex.org/W3009156795","https://openalex.org/W3011149445","https://openalex.org/W3011588331","https://openalex.org/W3011590696","https://openalex.org/W3012602559","https://openalex.org/W3012774668","https://openalex.org/W3012857944","https://openalex.org/W3013128190","https://openalex.org/W3013130152","https://openalex.org/W3013601031","https://openalex.org/W3015373052","https://openalex.org/W3016194608","https://openalex.org/W3016214835","https://openalex.org/W3016497219","https://openalex.org/W3016912206","https://openalex.org/W3017451406","https://openalex.org/W3017855299","https://openalex.org/W3019980738","https://openalex.org/W3021853905","https://openalex.org/W3024506939","https://openalex.org/W3024801014","https://openalex.org/W3025576489","https://openalex.org/W3025948831","https://openalex.org/W3027764902","https://openalex.org/W3028070348","https://openalex.org/W3028228268","https://openalex.org/W3033546701","https://openalex.org/W3035740374","https://openalex.org/W3035986928","https://openalex.org/W3036688711","https://openalex.org/W3042427901","https://openalex.org/W3049131298","https://openalex.org/W3090140268","https://openalex.org/W3092234733","https://openalex.org/W3092530991","https://openalex.org/W3094388274","https://openalex.org/W3096831136","https://openalex.org/W3101156210","https://openalex.org/W3101646318","https://openalex.org/W3105081694","https://openalex.org/W3106027361","https://openalex.org/W3108656121","https://openalex.org/W3118948698","https://openalex.org/W3125981223","https://openalex.org/W3130844452","https://openalex.org/W3140428646","https://openalex.org/W3141898517","https://openalex.org/W3147894994","https://openalex.org/W3156342878","https://openalex.org/W3159381686","https://openalex.org/W3196024581","https://openalex.org/W3208831725","https://openalex.org/W3212912762","https://openalex.org/W4249849089","https://openalex.org/W4287815591","https://openalex.org/W4293241248","https://openalex.org/W4297813700","https://openalex.org/W4298289240","https://openalex.org/W4300101671","https://openalex.org/W6618372016","https://openalex.org/W7015098694"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W3119540162","https://openalex.org/W3152916563","https://openalex.org/W3024479225","https://openalex.org/W3171371563","https://openalex.org/W3133954817","https://openalex.org/W3003847115"],"abstract_inverted_index":{"This":[0],"literature":[1],"review":[2,116],"summarizes":[3],"the":[4,11,36,82,86,93,127,131,166],"current":[5],"deep":[6,118,155],"learning":[7,119,156],"methods":[8],"developed":[9],"by":[10],"medical":[12],"imaging":[13,24,38],"AI":[14],"research":[15],"community":[16],"that":[17,121],"have":[18,74,122],"been":[19,75,124],"focused":[20],"on":[21,92,143],"resolving":[22],"lung":[23],"problems":[25],"related":[26],"to":[27,77,98,126],"coronavirus":[28],"disease":[29],"2019":[30],"(COVID-19).":[31],"COVID-19":[32,50,83,136],"shares":[33],"many":[34],"of":[35,44,67,88,117,129,135,148,170],"same":[37],"characteristics":[39],"as":[40,146],"other":[41,52],"common":[42,53],"forms":[43],"bacterial":[45],"and":[46,104,133,153,161,168,173],"viral":[47],"pneumonia.":[48],"Differentiating":[49],"from":[51],"pulmonary":[54],"infections":[55],"is":[56],"a":[57,89],"non-trivial":[58],"task.":[59],"To":[60],"help":[61,78],"offset":[62],"what":[63],"commonly":[64],"requires":[65],"hours":[66],"tedious":[68],"manual":[69],"annotation,":[70],"several":[71],"innovative":[72],"solutions":[73],"published":[76],"healthcare":[79],"providers":[80],"during":[81],"pandemic.":[84],"However,":[85],"absence":[87],"comprehensive":[90],"survey":[91],"subject":[94],"makes":[95],"it":[96],"challenging":[97],"ascertain":[99],"which":[100],"approaches":[101,141],"are":[102],"promising":[103],"therefore":[105],"deserve":[106],"further":[107],"investigation.":[108],"In":[109],"this":[110,180],"survey,":[111],"we":[112,175],"present":[113],"an":[114],"in-depth":[115],"techniques":[120],"recently":[123],"applied":[125],"task":[128],"discovering":[130],"diagnosis":[132],"prognosis":[134],"patients.":[137],"We":[138,163],"categorize":[139],"existing":[140],"based":[142],"features":[144],"such":[145],"dimensionality":[147],"radiological":[149],"imaging,":[150],"system":[151],"purpose,":[152],"used":[154],"techniques,":[157],"underlying":[158],"core":[159],"issues,":[160],"challenges.":[162],"also":[164],"address":[165],"merits":[167],"shortcomings":[169],"various":[171],"approaches,":[172],"finally":[174],"discuss":[176],"future":[177],"directions":[178],"for":[179],"research.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}