{"id":"https://openalex.org/W4394631410","doi":"https://doi.org/10.1109/crc60659.2023.10488648","title":"Cervix Visionator ELM: A Novel Approach to Early Detection of Cervical Cancer","display_name":"Cervix Visionator ELM: A Novel Approach to Early Detection of Cervical Cancer","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4394631410","doi":"https://doi.org/10.1109/crc60659.2023.10488648"},"language":"en","primary_location":{"id":"doi:10.1109/crc60659.2023.10488648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc60659.2023.10488648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5095113805","display_name":"Khowaja Ashfaque","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Khowaja Ashfaque","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062015169","display_name":"Beiji Zou","orcid":"https://orcid.org/0000-0002-3542-1097"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zou BeiJi","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077488582","display_name":"Xiaoyan Kui","orcid":"https://orcid.org/0000-0002-9957-7867"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Kui","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5095113805"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.3651,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62297873,"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":"254","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.3456999957561493,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.3456999957561493,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"Cervical cancer","score":0.6335393190383911},{"id":"https://openalex.org/keywords/cervix","display_name":"Cervix","score":0.5889092087745667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38359981775283813},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3307681679725647},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2969619929790497},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12129482626914978}],"concepts":[{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.6335393190383911},{"id":"https://openalex.org/C2777740455","wikidata":"https://www.wikidata.org/wiki/Q666412","display_name":"Cervix","level":3,"score":0.5889092087745667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38359981775283813},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3307681679725647},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2969619929790497},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12129482626914978}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc60659.2023.10488648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc60659.2023.10488648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6299999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1969659889","https://openalex.org/W2134603844","https://openalex.org/W2616720730","https://openalex.org/W2892046320","https://openalex.org/W2948771356","https://openalex.org/W2964269074","https://openalex.org/W2972574169","https://openalex.org/W3093496925","https://openalex.org/W3094502228","https://openalex.org/W3102737931","https://openalex.org/W3127751679","https://openalex.org/W3131696613","https://openalex.org/W3134866734","https://openalex.org/W3148004426","https://openalex.org/W3181029726","https://openalex.org/W4220845045","https://openalex.org/W4225332073","https://openalex.org/W4226530256","https://openalex.org/W4234971943","https://openalex.org/W4281636223","https://openalex.org/W4281702331","https://openalex.org/W4297829739","https://openalex.org/W4385245566","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6793164127","https://openalex.org/W6811046068"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1522371372","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2008889795"],"abstract_inverted_index":{"Cervical":[0],"cancer":[1,31,53],"is":[2,35,58],"one":[3],"of":[4,8,29,123,134,144,153],"the":[5,66,109,116,140,151],"leading":[6],"causes":[7],"mortality":[9],"among":[10],"women,":[11],"but":[12],"early":[13],"detection":[14],"and":[15,37,78,129,142],"treatment":[16],"can":[17],"prevent":[18],"its":[19,148],"progression.":[20],"Although":[21],"Pap":[22,55,88],"smear":[23,56,89],"images":[24],"are":[25,94],"a":[26,45,71],"prevalent":[27],"method":[28],"cervical":[30,52,114,159],"screening,":[32],"manual":[33],"diagnosis":[34],"laborious":[36],"prone":[38],"to":[39,83],"error.":[40],"The":[41,91,132],"Cervix":[42,117],"Visionator":[43,118],"ELM,":[44],"novel":[46],"automated":[47],"computerized":[48],"approach":[49],"for":[50,139,157],"detecting":[51],"in":[54,60],"images,":[57],"introduced":[59],"this":[61,135],"research":[62],"article.":[63],"We":[64],"integrate":[65],"self-attention":[67],"mechanism":[68],"with":[69],"EfficientNet,":[70],"state-of-the-art":[72],"Convolutional":[73],"Neural":[74],"Network":[75],"(CNN)":[76],"architecture,":[77],"Vision":[79],"Transformer":[80],"(ViT)":[81],"models":[82,155],"get":[84],"deep-learned":[85],"features":[86,93],"from":[87],"images.":[90],"extracted":[92],"then":[95],"classified":[96],"using":[97,108],"an":[98,121],"Extreme":[99],"Learning":[100],"Machine":[101],"(ELM)-based":[102],"classifier.":[103],"Our":[104],"model":[105],"was":[106],"assessed":[107],"SIPaKMeD":[110],"open":[111],"dataset.":[112],"In":[113],"cells,":[115],"ELM":[119],"demonstrated":[120],"accuracy":[122],"98.89%,":[124],"99.42%":[125],"precision,":[126],"97.87%":[127],"recall,":[128],"98.76%":[130],"F-measure.":[131],"findings":[133],"study":[136],"provide":[137],"evidence":[138],"soundness":[141],"efficacy":[143],"our":[145],"model,":[146],"establishing":[147],"superiority":[149],"over":[150],"majority":[152],"current":[154],"utilized":[156],"classifying":[158],"cells.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
