{"doi":"10.3389/fonc.2024.1264611","title":"HO-SsNF: heap optimizer-based self-systematized neural fuzzy approach for cervical cancer classification using pap smear images","abstract":"Cervical cancer is a significant concern for women, necessitating early detection and precise treatment. Conventional cytological methods often fall short in early diagnosis. The proposed innovative Heap Optimizer-based Self-Systematized Neural Fuzzy (HO-SsNF) method offers a viable solution. It utilizes HO-based segmentation, extracting features via Gray-Level Co-Occurrence Matrix (GLCM) and Local Binary Pattern (LBP). The proposed SsNF-based classifier achieves an impressive 99.6% accuracy in classifying cervical cancer cells, using the Herlev Pap Smear database. Comparative analyses underscore its superiority, establishing it as a valuable tool for precise cervical cancer detection. This algorithm has been seamlessly integrated into cervical cancer diagnosis centers, accessible through smartphone applications, with minimal resource demands. The resulting insights provide a foundation for advancing cancer prevention methods.","journal":"Frontiers in Oncology","year":2024,"id":446710,"datarank":0.3258984961749186,"base_score":1.9459101490553132,"endowment":1.9459101490553132,"self_citation_contribution":0.29188652235829704,"citation_network_contribution":0.034011973816621556,"self_endowment_contribution":0.29188652235829704,"citer_contribution":0.034011973816621556,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":5,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9516,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1264372,"name":"Kavitha KVN","orcid":null,"position":1,"is_corresponding":false},{"id":1264373,"name":"Prianka Ramachandran Radhabai","orcid":null,"position":2,"is_corresponding":false},{"id":1264374,"name":"Senthilnathan Natarajan","orcid":null,"position":3,"is_corresponding":false},{"id":1263942,"name":"Agbotiname Lucky Imoize","orcid":"0000-0001-8921-8353","position":4,"is_corresponding":false},{"id":1263943,"name":"Stephen Ojo","orcid":"0000-0002-2383-621X","position":5,"is_corresponding":false},{"id":730030,"name":"Thomas I. Nathaniel","orcid":"0000-0003-0954-5050","position":6,"is_corresponding":false},{"id":1264371,"name":"Ashok Shanmugam","orcid":null,"position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:01:54.980444Z","pmid":"38751808","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}