{"id":"https://openalex.org/W4406322061","doi":"https://doi.org/10.1109/access.2025.3529206","title":"Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs","display_name":"Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406322061","doi":"https://doi.org/10.1109/access.2025.3529206"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3529206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3529206","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3529206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007726935","display_name":"Hassen Louati","orcid":"https://orcid.org/0000-0001-7442-8972"},"institutions":[{"id":"https://openalex.org/I4210156733","display_name":"Kingdom University","ror":"https://ror.org/04g3hr176","country_code":"BH","type":"education","lineage":["https://openalex.org/I4210156733"]}],"countries":["BH"],"is_corresponding":false,"raw_author_name":"Hassen Louati","raw_affiliation_strings":["College of Information Technology, Kingdom University, Riffa, Bahrain"],"raw_orcid":"https://orcid.org/0000-0001-7442-8972","affiliations":[{"raw_affiliation_string":"College of Information Technology, Kingdom University, Riffa, Bahrain","institution_ids":["https://openalex.org/I4210156733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091350123","display_name":"Ali Louati","orcid":"https://orcid.org/0000-0001-7088-3919"},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ali Louati","raw_affiliation_strings":["Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-7088-3919","affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051489877","display_name":"Khalid Mansour","orcid":"https://orcid.org/0000-0002-8087-8045"},"institutions":[{"id":"https://openalex.org/I4210134411","display_name":"Arab Open University","ror":"https://ror.org/02yyxkw16","country_code":"BH","type":"education","lineage":["https://openalex.org/I4210093932","https://openalex.org/I4210134411"]}],"countries":["BH"],"is_corresponding":false,"raw_author_name":"Khalid Mansour","raw_affiliation_strings":["Faculty of Computer Studies, Arab Open University, A&#x2019;ali, Bahrain","Faculty of computer studies, Arab Open University, Bahrain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Studies, Arab Open University, A&#x2019;ali, Bahrain","institution_ids":["https://openalex.org/I4210134411"]},{"raw_affiliation_string":"Faculty of computer studies, Arab Open University, Bahrain","institution_ids":["https://openalex.org/I4210134411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053040718","display_name":"Elham Kariri","orcid":"https://orcid.org/0000-0003-3226-6412"},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Elham Kariri","raw_affiliation_strings":["Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-3226-6412","affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5864,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87428339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"10070","last_page":"10082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9945999979972839,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820467710494995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3787689507007599}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820467710494995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3787689507007599}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3529206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3529206","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:36cf1d9b9ca54485a833272f90bdd724","is_oa":true,"landing_page_url":"https://doaj.org/article/36cf1d9b9ca54485a833272f90bdd724","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 10070-10082 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3529206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3529206","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2296600085","display_name":null,"funder_award_id":"PSAU/2025/R/1446","funder_id":"https://openalex.org/F4320311227","funder_display_name":"Prince Sattam bin Abdulaziz University"},{"id":"https://openalex.org/G5675068647","display_name":null,"funder_award_id":"KU\u2013SRU-2024\u201308","funder_id":"https://openalex.org/F4320321167","funder_display_name":"University of Bahrain"},{"id":"https://openalex.org/G6210716984","display_name":null,"funder_award_id":"2024-3-011","funder_id":"https://openalex.org/F4320321167","funder_display_name":"University of Bahrain"},{"id":"https://openalex.org/G7265657855","display_name":null,"funder_award_id":"PSAU/2024/R/1446","funder_id":"https://openalex.org/F4320311227","funder_display_name":"Prince Sattam bin Abdulaziz University"}],"funders":[{"id":"https://openalex.org/F4320311227","display_name":"Prince Sattam bin Abdulaziz University","ror":"https://ror.org/04jt46d36"},{"id":"https://openalex.org/F4320321167","display_name":"University of Bahrain","ror":"https://ror.org/0317ekv86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1801780804","https://openalex.org/W2165698076","https://openalex.org/W2546536770","https://openalex.org/W2549139847","https://openalex.org/W2611650229","https://openalex.org/W2626129225","https://openalex.org/W2901954625","https://openalex.org/W2953308748","https://openalex.org/W2954234207","https://openalex.org/W2962851801","https://openalex.org/W2963363373","https://openalex.org/W2963466845","https://openalex.org/W2964081807","https://openalex.org/W2964166963","https://openalex.org/W2964233199","https://openalex.org/W3019449959","https://openalex.org/W3088798822","https://openalex.org/W3183917552","https://openalex.org/W4296497246","https://openalex.org/W4383609821","https://openalex.org/W4385506018","https://openalex.org/W6684563725","https://openalex.org/W6723181079","https://openalex.org/W6726275242","https://openalex.org/W6738297899","https://openalex.org/W6739917289","https://openalex.org/W6745119210"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"X-ray":[0,23,46,115],"imaging":[1],"is":[2,69],"essential":[3],"in":[4,164],"medical":[5,188],"diagnostics,":[6],"particularly":[7],"for":[8,22,89,162],"identifying":[9],"anomalies":[10],"like":[11],"respiratory":[12],"diseases.":[13],"However,":[14],"building":[15],"accurate":[16],"and":[17,32,56,107,170,185],"efficient":[18],"deep":[19],"learning":[20,97],"models":[21],"image":[24,47,189],"classification":[25,48,147],"remains":[26],"challenging,":[27],"requiring":[28],"both":[29,182],"optimized":[30],"architectures":[31],"low":[33],"computational":[34,132],"complexity.":[35],"In":[36],"this":[37,142],"paper,":[38],"we":[39,94],"present":[40],"a":[41,176],"three-stage":[42],"framework":[43,174],"to":[44,71,82,130,180],"enhance":[45],"using":[49],"Neural":[50],"Architecture":[51],"Search":[52],"(NAS),":[53],"Transfer":[54],"Learning,":[55],"Model":[57],"Compression":[58],"via":[59],"filter":[60,121],"pruning,":[61,122],"specifically":[62],"targeting":[63],"the":[64,74,83,87,104,150,183],"ChestX-Ray14":[65,84,151],"dataset.":[66],"First,":[67],"NAS":[68],"employed":[70],"automatically":[72],"discover":[73],"optimal":[75],"convolutional":[76],"neural":[77],"network":[78],"(CNN)":[79],"architecture":[80],"tailored":[81],"dataset,":[85],"reducing":[86],"need":[88],"extensive":[90],"manual":[91],"tuning.":[92],"Subsequently,":[93],"leverage":[95],"transfer":[96],"by":[98,124],"incorporating":[99],"pre-trained":[100],"models,":[101],"which":[102],"enhances":[103],"model\u2019s":[105],"generalizability":[106],"reduces":[108,156],"dependency":[109],"on":[110,149],"large":[111],"volumes":[112],"of":[113,187],"labeled":[114],"data.":[116],"Finally,":[117],"model":[118,136,157],"compression":[119],"through":[120],"driven":[123],"evolutionary":[125],"algorithms,":[126],"trims":[127],"redundant":[128],"parameters":[129],"improve":[131,181],"efficiency":[133,186],"while":[134],"preserving":[135],"accuracy.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"that":[141],"approach":[143],"not":[144],"only":[145],"boosts":[146],"accuracy":[148,184],"dataset":[152],"but":[153],"also":[154],"significantly":[155],"size,":[158],"making":[159],"it":[160],"suitable":[161],"deployment":[163],"resource-constrained":[165],"environments,":[166],"such":[167],"as":[168],"mobile":[169],"edge":[171],"devices.":[172],"This":[173],"provides":[175],"practical,":[177],"scalable":[178],"solution":[179],"classification.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
