Oral cavity carcinoma detection using BAT algorithm-optimized machine learning models with transfer learning and random sampling.

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Bibliographic Details
Title: Oral cavity carcinoma detection using BAT algorithm-optimized machine learning models with transfer learning and random sampling.
Authors: Folorunso SO; Artificial Intelligence Systems Research Group, Department of Computer Science, Olabisi Onabanjo University, Ago-Iwoye, Nigeria., Abdulwarith A; Department of Oral and Maxillofacial Pathology and Biology, Faculty of Dentistry, University of Lagos, Lagos, Nigeria., Adeniyi AE; Department of Computer Science, College of Computing and Communication Studies, Bowen University, Iwo, Nigeria; Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; MIVA Open University, Abuja, Nigeria. Electronic address: abidemi.adeniyi@bowen.edu.ng., Aworinde HO; Department of Computer Science, College of Computing and Communication Studies, Bowen University, Iwo, Nigeria; Department of Information Technology, Durban University of Technology, Durban, KZ, South Africa., Awotunde JB; Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Nigeria.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Jun; Vol. 192 (Pt B), pp. 110250. Date of Electronic Publication: 2025 May 05.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2025.110250