{"id":"https://openalex.org/W4402896947","doi":"https://doi.org/10.1109/icsipa62061.2024.10687266","title":"Semi-Supervised Novel Radiomics Approach for COVID-19 Severity Detection based on Atmospheric Veil Correction","display_name":"Semi-Supervised Novel Radiomics Approach for COVID-19 Severity Detection based on Atmospheric Veil Correction","publication_year":2024,"publication_date":"2024-09-03","ids":{"openalex":"https://openalex.org/W4402896947","doi":"https://doi.org/10.1109/icsipa62061.2024.10687266"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa62061.2024.10687266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa62061.2024.10687266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA)","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/A5027867340","display_name":"Basma Jumaa Saleh","orcid":"https://orcid.org/0000-0003-0952-0910"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Basma Jumaa Saleh","raw_affiliation_strings":["Universiti Teknologi Malaysia,Department of Electronic and Computer Engineering,Johor Bahru,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi Malaysia,Department of Electronic and Computer Engineering,Johor Bahru,Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028494999","display_name":"Zaid Omar","orcid":"https://orcid.org/0000-0003-1032-7835"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Zaid Omar","raw_affiliation_strings":["Universiti Teknologi Malaysia,Department of Electronic and Computer Engineering,Johor Bahru,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi Malaysia,Department of Electronic and Computer Engineering,Johor Bahru,Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056787567","display_name":"Muhammad Amir As\u2019ari","orcid":"https://orcid.org/0000-0001-7822-423X"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Muhammad Amir As'ari","raw_affiliation_strings":["Universiti Teknologi Malaysia,Department of Biomedical Engineering and Health Sciences,Johor Bahru,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi Malaysia,Department of Biomedical Engineering and Health Sciences,Johor Bahru,Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073956678","display_name":"Vikrant Bhateja","orcid":"https://orcid.org/0000-0002-3259-8874"},"institutions":[{"id":"https://openalex.org/I875728190","display_name":"Veer Bahadur Singh Purvanchal University","ror":"https://ror.org/0560jvm78","country_code":"IN","type":"education","lineage":["https://openalex.org/I875728190"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikrant Bhateja","raw_affiliation_strings":["Veer Bahadur Singh Purvanchal University,Department of Electronics Engineering,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Veer Bahadur Singh Purvanchal University,Department of Electronics Engineering,Uttar Pradesh,India","institution_ids":["https://openalex.org/I875728190"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027867340"],"corresponding_institution_ids":["https://openalex.org/I4576418"],"apc_list":null,"apc_paid":null,"fwci":0.1955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48536782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9747999906539917,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9627000093460083,"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":0.7836811542510986},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.6713830232620239},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5791433453559875},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.540342390537262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5174594521522522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4989180564880371},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.15683013200759888},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14623209834098816}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7836811542510986},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.6713830232620239},{"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":0.5791433453559875},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.540342390537262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5174594521522522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4989180564880371},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.15683013200759888},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14623209834098816},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","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/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa62061.2024.10687266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa62061.2024.10687266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.699999988079071,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2128254161","https://openalex.org/W2194775991","https://openalex.org/W2536722097","https://openalex.org/W2809598685","https://openalex.org/W3004917317","https://openalex.org/W3005570268","https://openalex.org/W3006110666","https://openalex.org/W3009812332","https://openalex.org/W3009925957","https://openalex.org/W3012211282","https://openalex.org/W3014337038","https://openalex.org/W3017855299","https://openalex.org/W3037424146","https://openalex.org/W3087434656","https://openalex.org/W3122572707","https://openalex.org/W3135092238","https://openalex.org/W3186682742","https://openalex.org/W3201927317","https://openalex.org/W3213523866","https://openalex.org/W4205784878","https://openalex.org/W4206245015","https://openalex.org/W4281758010","https://openalex.org/W4283390391","https://openalex.org/W4284712764","https://openalex.org/W4388260717","https://openalex.org/W4388698832","https://openalex.org/W4394903884","https://openalex.org/W4400762160"],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W3176864053","https://openalex.org/W4206669628","https://openalex.org/W3171943759","https://openalex.org/W4292098121","https://openalex.org/W3154141118","https://openalex.org/W4388896133","https://openalex.org/W3031607536","https://openalex.org/W4205317059"],"abstract_inverted_index":{"Computed":[0],"tomography":[1],"(CT)":[2],"of":[3,25,42,82,102,105,112,139,172,182,221,233,248],"the":[4,23,39,80,83,98,106,120,125,129,137,142,154,159,170,173,180,215,231,254],"lungs":[5],"is":[6,45,145,166],"a":[7,18,59,94,162,195],"widely":[8],"used":[9],"imaging":[10],"technique":[11],"for":[12,63,97,153],"detecting":[13],"lung":[14],"abnormalities.":[15],"It":[16],"plays":[17],"crucial":[19],"role":[20],"in":[21,35,72,124,141,230],"monitoring":[22],"progression":[24],"diseases,":[26],"efficiently":[27],"allocating":[28],"scarce":[29],"medical":[30],"resources,":[31],"and":[32,47,85,109,185,203,228,238],"strategizing":[33],"treatment":[34],"clinical":[36],"settings.":[37],"However,":[38],"manual":[40],"screening":[41],"CT":[43,126,156,175],"images":[44],"laborious":[46],"prone":[48],"to":[49,168],"human":[50],"errors.":[51],"Thus,":[52],"deep":[53],"learning":[54],"(DL)":[55],"can":[56],"serve":[57],"as":[58],"supplementary":[60],"decision-making":[61],"tool":[62],"radiologists.":[64],"While":[65],"previous":[66],"studies":[67,251],"have":[68],"achieved":[69],"notable":[70],"success":[71],"classifying":[73],"Coronavirus":[74],"Disease":[75],"2019":[76],"(COVID-19),":[77],"accurately":[78],"identifying":[79,119],"location":[81],"infection":[84,107],"measuring":[86],"its":[87],"severity":[88],"remains":[89],"challenging.":[90],"This":[91],"study":[92],"presents":[93],"three-step":[95],"framework":[96],"semi-supervised":[99],"radiomics":[100],"classification":[101,193],"COVID-19,":[103],"identification":[104],"region,":[108],"automatic":[110],"assessment":[111],"disease":[113],"severity.":[114],"The":[115,188,210],"initial":[116],"step":[117,190],"involves":[118,191],"illuminated":[121],"infected":[122],"area":[123],"image":[127],"using":[128,194],"intensity":[130],"dark":[131],"channel":[132],"prior":[133],"(IDCP)":[134],"technique.":[135],"Additionally,":[136,242],"number":[138,181],"pixels":[140,184],"bright":[143,183],"region":[144],"estimated":[146],"through":[147],"atmospheric":[148],"veil":[149],"correction":[150],"(A":[151],"VC)":[152],"labeled":[155,208],"images.":[157],"In":[158],"second":[160],"step,":[161],"random":[163],"forest":[164],"classifier":[165],"trained":[167],"predict":[169],"classes":[171],"unlabeled":[174],"images,":[176],"separated":[177],"based":[178],"on":[179,253],"texture":[186],"features.":[187],"third":[189],"performing":[192],"residual":[196],"neural":[197],"network":[198],"with":[199,207],"50":[200],"layers":[201],"(Resnet-50)":[202],"verifying":[204],"model":[205],"accuracy":[206],"data.":[209],"experimental":[211],"results":[212,220],"demonstrate":[213],"that":[214,247],"proposed":[216],"method":[217],"achieves":[218],"verification":[219],"98.99%,":[222],"97.73%,":[223],"100<sup":[224],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[225],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>,98.21":[226],"%,":[227],"98.85%":[229],"metrics":[232],"accuracy,":[234],"precision,":[235],"sensitivity,":[236],"specificity,":[237],"F1":[239],"Score,":[240],"respectively.":[241],"our":[243],"model's":[244],"performance":[245],"surpasses":[246],"current":[249],"state-of-the-art":[250],"conducted":[252],"same":[255],"dataset.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}