{"id":"https://openalex.org/W4417517448","doi":"https://doi.org/10.1142/s0218194025501062","title":"An Integrated Knowledge Distillation Approach with Lightweight Neural Network for Cervical Cancer Classification","display_name":"An Integrated Knowledge Distillation Approach with Lightweight Neural Network for Cervical Cancer Classification","publication_year":2025,"publication_date":"2025-12-20","ids":{"openalex":"https://openalex.org/W4417517448","doi":"https://doi.org/10.1142/s0218194025501062"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194025501062","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194025501062","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","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":null,"display_name":"Sharmila Muthusenapathy","orcid":"https://orcid.org/0009-0001-5199-2324"},"institutions":[{"id":"https://openalex.org/I138876546","display_name":"Vels University","ror":"https://ror.org/00tscx035","country_code":"IN","type":"education","lineage":["https://openalex.org/I138876546"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sharmila Muthusenapathy","raw_affiliation_strings":["Department of Biomedical Engineering, Velalar College of Engineering and Technology, Erode, Tamil Nadu 638012, India"],"raw_orcid":"https://orcid.org/0009-0001-5199-2324","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Velalar College of Engineering and Technology, Erode, Tamil Nadu 638012, India","institution_ids":["https://openalex.org/I138876546"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gokul Chandrasekaran","orcid":"https://orcid.org/0000-0002-3569-9443"},"institutions":[{"id":"https://openalex.org/I65220239","display_name":"Karpagam Academy of Higher Education","ror":"https://ror.org/00ssvzv66","country_code":"IN","type":"education","lineage":["https://openalex.org/I65220239"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gokul Chandrasekaran","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Karpagam Institute of Technology, Coimbatore, Tamil Nadu 641105, India"],"raw_orcid":"https://orcid.org/0000-0002-3569-9443","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Karpagam Institute of Technology, Coimbatore, Tamil Nadu 641105, India","institution_ids":["https://openalex.org/I65220239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19585781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"08","first_page":"1163","last_page":"1186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.763700008392334,"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":0.763700008392334,"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/T10146","display_name":"Cervical Cancer and HPV Research","score":0.12800000607967377,"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/T10668","display_name":"Endometrial and Cervical Cancer Treatments","score":0.025100000202655792,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/cervical-cancer","display_name":"Cervical cancer","score":0.7409999966621399},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.6761000156402588},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.614300012588501},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4230000078678131},{"id":"https://openalex.org/keywords/cervical-screening","display_name":"Cervical screening","score":0.40790000557899475},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.400299996137619}],"concepts":[{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.7409999966621399},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6761000156402588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363000273704529},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.614300012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5550000071525574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.545799970626831},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C2780647465","wikidata":"https://www.wikidata.org/wiki/Q5065348","display_name":"Cervical screening","level":4,"score":0.40790000557899475},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35670000314712524},{"id":"https://openalex.org/C2993522905","wikidata":"https://www.wikidata.org/wiki/Q5065348","display_name":"Cervical cancer screening","level":4,"score":0.3240000009536743},{"id":"https://openalex.org/C2777740455","wikidata":"https://www.wikidata.org/wiki/Q666412","display_name":"Cervix","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218194025501062","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194025501062","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2616720730","https://openalex.org/W2787323722","https://openalex.org/W2963446712","https://openalex.org/W2963973518","https://openalex.org/W2974328964","https://openalex.org/W3000322995","https://openalex.org/W3006086117","https://openalex.org/W3008663655","https://openalex.org/W3015735225","https://openalex.org/W3035903835","https://openalex.org/W3072011699","https://openalex.org/W3130039502","https://openalex.org/W3131696613","https://openalex.org/W3137048919","https://openalex.org/W3190093092","https://openalex.org/W3194048101","https://openalex.org/W3213783748","https://openalex.org/W4213019189","https://openalex.org/W4213267606","https://openalex.org/W4220845045","https://openalex.org/W4282977429","https://openalex.org/W4312739112","https://openalex.org/W4313003963","https://openalex.org/W4315630793","https://openalex.org/W4379116387","https://openalex.org/W4383815394","https://openalex.org/W4390204227","https://openalex.org/W4391819303","https://openalex.org/W4391974578","https://openalex.org/W4392940144","https://openalex.org/W4393281695","https://openalex.org/W4394843662","https://openalex.org/W4394870071","https://openalex.org/W4399728114","https://openalex.org/W4400801395","https://openalex.org/W4401486867","https://openalex.org/W4403295184","https://openalex.org/W4403510715","https://openalex.org/W4403722529","https://openalex.org/W4405223809","https://openalex.org/W4405521145","https://openalex.org/W4410701484"],"related_works":[],"abstract_inverted_index":{"Cervical":[0],"cancer":[1,29,53,81,202],"is":[2,40,54,127],"one":[3],"of":[4,18,27,48,146,151,155,159,163,168,194],"the":[5,19,25,45,97,128,182,190],"most":[6,129],"common":[7],"and":[8,34,123,165,173,192,204],"deadly":[9],"cancers":[10],"that":[11],"affects":[12],"women":[13],"across":[14],"global.":[15],"Frequent":[16],"screening":[17,44,203],"cervix":[20],"can":[21],"help":[22],"to":[23,61,91,113],"avoid":[24],"growth":[26],"pre-cancerous":[28],"by":[30],"helping":[31],"early":[32,46],"detection":[33,47],"subsequent":[35],"treatment.":[36],"The":[37,139],"Papsmear":[38],"test":[39],"widely":[41],"applied":[42],"for":[43,79,96,135,178,200],"cervical":[49,52,80,137,201],"cancer;":[50],"however,":[51],"labor-intensive,":[55],"time-consuming":[56],"as":[57,59],"well":[58],"susceptible":[60],"human":[62],"mistakes.":[63],"A":[64,170],"lightweight":[65],"neural":[66],"network":[67],"(LNN)-based":[68],"integrated":[69,186],"knowledge":[70],"distillation":[71],"strategy":[72],"has":[73],"been":[74],"developed":[75],"using":[76,84],"a":[77,87,115,120,143,153,157,195],"model":[78,95,101,118,141,187],"classification.":[82],"By":[83],"data":[85],"from":[86],"skilled":[88],"teacher,":[89],"strategies":[90],"train":[92],"an":[93,103,109,149,161,166],"LNN":[94,110],"student":[98],"learner,":[99],"this":[100],"provides":[102],"effective":[104,117],"architecture.":[105],"This":[106,185],"study":[107],"selects":[108],"in":[111],"order":[112],"generate":[114],"highly":[116],"through":[119],"few":[121],"parameters":[122],"computations.":[124],"Moreover,":[125],"SPIkAMeD":[126],"extensively":[130],"used":[131,177],"publicly":[132],"available":[133],"dataset":[134],"classifying":[136],"cancer.":[138],"proposed":[140],"achieved":[142],"computational":[144],"time":[145],"80.1":[147],"s,":[148],"accuracy":[150],"99.1%,":[152],"precision":[154],"98.655%,":[156],"recall":[158],"99.11%,":[160],"F1-score":[162],"98.97%":[164],"AUC":[167],"0.99.":[169],"confusion":[171],"matrix":[172],"k-fold":[174],"validation":[175],"were":[176],"additional":[179],"evaluation,":[180],"demonstrating":[181],"model\u2019s":[183],"effectiveness.":[184],"may":[188],"increase":[189],"efficacy":[191],"cost-effectiveness":[193],"computer-aided":[196],"diagnostic":[197],"(CAD)":[198],"system":[199],"prevention.":[205]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-20T00:00:00"}
