{"id":"https://openalex.org/W4380366324","doi":"https://doi.org/10.1109/access.2023.3285409","title":"A Predictive Model to Detect Cervical Diseases Using Convolutional Neural Network Algorithms and Digital Colposcopy Images","display_name":"A Predictive Model to Detect Cervical Diseases Using Convolutional Neural Network Algorithms and Digital Colposcopy Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380366324","doi":"https://doi.org/10.1109/access.2023.3285409"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3285409","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3285409","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10148990.pdf","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://ieeexplore.ieee.org/ielx7/6287639/10005208/10148990.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055789406","display_name":"Nina Youneszade","orcid":"https://orcid.org/0000-0002-7478-1861"},"institutions":[{"id":"https://openalex.org/I4210143550","display_name":"Taylor's University","ror":"https://ror.org/0498pcx51","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210143550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nina Youneszade","raw_affiliation_strings":["School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Subang Jaya, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-7478-1861","affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Subang Jaya, Malaysia","institution_ids":["https://openalex.org/I4210143550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005476133","display_name":"Mohsen Marjani","orcid":"https://orcid.org/0000-0002-7445-7332"},"institutions":[{"id":"https://openalex.org/I4210143550","display_name":"Taylor's University","ror":"https://ror.org/0498pcx51","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210143550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohsen Marjani","raw_affiliation_strings":["School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Subang Jaya, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-7445-7332","affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Subang Jaya, Malaysia","institution_ids":["https://openalex.org/I4210143550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102916685","display_name":"Sayan Kumar Ray","orcid":"https://orcid.org/0000-0003-2485-437X"},"institutions":[{"id":"https://openalex.org/I4210143550","display_name":"Taylor's University","ror":"https://ror.org/0498pcx51","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210143550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sayan Kumar Ray","raw_affiliation_strings":["School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Subang Jaya, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Subang Jaya, Malaysia","institution_ids":["https://openalex.org/I4210143550"]}]}],"institutions":[],"countries_distinct_count":1,"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":4.0208,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9469917,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"59882","last_page":"59898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.9750000238418579,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/colposcopy","display_name":"Colposcopy","score":0.9318636655807495},{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"Cervical cancer","score":0.7522768974304199},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5724954605102539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5356649160385132},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4959777295589447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4708927273750305},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.465657502412796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4579620957374573},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.41830700635910034},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.21944186091423035},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09892448782920837}],"concepts":[{"id":"https://openalex.org/C2776117191","wikidata":"https://www.wikidata.org/wiki/Q912741","display_name":"Colposcopy","level":4,"score":0.9318636655807495},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.7522768974304199},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5724954605102539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356649160385132},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4959777295589447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4708927273750305},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.465657502412796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4579620957374573},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.41830700635910034},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.21944186091423035},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09892448782920837},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3285409","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3285409","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10148990.pdf","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:b7cf1385fa7d4622bc65d9b06d4db2a7","is_oa":true,"landing_page_url":"https://doaj.org/article/b7cf1385fa7d4622bc65d9b06d4db2a7","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 11, Pp 59882-59898 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3285409","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3285409","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10148990.pdf","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":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G85541685","display_name":null,"funder_award_id":"FRGS/1/2019/ICT02/TAYLOR/02/1","funder_id":"https://openalex.org/F4320321147","funder_display_name":"Ministry of Higher Education"}],"funders":[{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380366324.pdf","grobid_xml":"https://content.openalex.org/works/W4380366324.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2163605009","https://openalex.org/W2523506545","https://openalex.org/W2567841968","https://openalex.org/W2728249558","https://openalex.org/W2809167334","https://openalex.org/W2886848602","https://openalex.org/W2890606532","https://openalex.org/W2896752796","https://openalex.org/W2901208058","https://openalex.org/W2906936950","https://openalex.org/W2908716024","https://openalex.org/W2909431490","https://openalex.org/W2944774645","https://openalex.org/W2958089299","https://openalex.org/W2965836539","https://openalex.org/W2970055610","https://openalex.org/W2972911304","https://openalex.org/W2974328964","https://openalex.org/W2976398475","https://openalex.org/W2978264737","https://openalex.org/W2991221005","https://openalex.org/W2994722311","https://openalex.org/W3157477640","https://openalex.org/W3158634817","https://openalex.org/W3193266809","https://openalex.org/W3197217317","https://openalex.org/W4200395890","https://openalex.org/W4285024807","https://openalex.org/W4291367344","https://openalex.org/W4294121159","https://openalex.org/W4309002538","https://openalex.org/W4315619246","https://openalex.org/W4315630793","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1975616345","https://openalex.org/W4252835526","https://openalex.org/W2757972151","https://openalex.org/W2492526875","https://openalex.org/W2367626978","https://openalex.org/W2155511500","https://openalex.org/W2090256142","https://openalex.org/W2399007019","https://openalex.org/W3143405422","https://openalex.org/W2758888915"],"abstract_inverted_index":{"Cervical":[0],"diseases,":[1,39,108],"specifically":[2],"cervical":[3,27,38,52,81,107,113,126,157],"cancer":[4,82],"(CC),":[5],"are":[6],"among":[7],"the":[8,14,32,43,48,56,60,117,139,142,147,149,169,176,183,191,193,197,213],"leading":[9],"causes":[10],"of":[11,31,51,62,106,112,125,130,141,156,166,190,207,223],"death":[12],"around":[13],"globe,":[15],"imposing":[16],"a":[17,91,219],"significant":[18],"challenge":[19],"to":[20,45,55,75,102,137,146],"scientists":[21],"and":[22,59,79,99,175,203,209,215],"healthcare":[23],"providers":[24],"dealing":[25],"with":[26,205],"disease":[28],"patients.":[29],"None":[30],"existing":[33],"solutions":[34],"can":[35,152],"detect":[36,47,103,153],"various":[37],"which":[40],"would":[41],"lead":[42],"experts":[44],"accurately":[46],"early":[49],"stages":[50,111],"diseases":[53,158],"due":[54],"equipment":[57],"limitations":[58],"type":[61],"medical":[63,118],"detection":[64],"tests":[65],"used":[66],"in":[67,134,168,182,187,201],"those":[68],"solutions.":[69],"New":[70],"technologies":[71],"have":[72],"been":[73],"developed":[74],"enable":[76],"more":[77],"rapid":[78],"sensitive":[80],"screening":[83],"using":[84,94],"deep":[85,95],"learning":[86,96],"algorithms.":[87],"This":[88,115],"study":[89],"proposes":[90],"predictive":[92],"model":[93,151,194],"(DL)":[97],"algorithms":[98],"colposcopy":[100],"images":[101],"different":[104,110],"classes":[105,154],"including":[109],"diseases.":[114,127],"offers":[116],"sector":[119],"an":[120],"opportunity":[121],"for":[122],"early-stage":[123],"diagnosis":[124],"Four":[128],"rounds":[129],"experiments":[131,217],"were":[132],"conducted":[133],"this":[135,188],"research":[136],"evaluate":[138],"performance":[140,199],"proposed":[143,150],"model.":[144],"According":[145],"results,":[148],"(stages)":[155],"while":[159],"it":[160],"obtains":[161],"high":[162],"accuracy.":[163],"The":[164],"rate":[165],"accuracy":[167,179],"training":[170],"stage":[171],"was":[172,180],"above":[173],"92%,":[174],"highest":[177,198],"achieved":[178,218],"99%":[181],"third":[184,214],"experiment.":[185],"Also,":[186],"round":[189],"experiment,":[192],"could":[195],"achieve":[196],"results":[200],"accuracy,":[202],"sensitivity":[204],"values":[206],"98%":[208],"98%,":[210],"respectively.":[211],"Notably,":[212],"last":[216],"perfect":[220],"specificity":[221],"value":[222],"1.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}