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

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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
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  Data: Oral cavity carcinoma detection using BAT algorithm-optimized machine learning models with transfer learning and random sampling.
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  Data: <searchLink fieldCode="AU" term="%22Folorunso+SO%22">Folorunso SO</searchLink>; Artificial Intelligence Systems Research Group, Department of Computer Science, Olabisi Onabanjo University, Ago-Iwoye, Nigeria.<br /><searchLink fieldCode="AU" term="%22Abdulwarith+A%22">Abdulwarith A</searchLink>; Department of Oral and Maxillofacial Pathology and Biology, Faculty of Dentistry, University of Lagos, Lagos, Nigeria.<br /><searchLink fieldCode="AU" term="%22Adeniyi+AE%22">Adeniyi AE</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Aworinde+HO%22">Aworinde HO</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Awotunde+JB%22">Awotunde JB</searchLink>; Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Nigeria.
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  Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2025 Jun; Vol. 192 (Pt B), pp. 110250. <i>Date of Electronic Publication: </i>2025 May 05.
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        Value: 10.1016/j.compbiomed.2025.110250
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      – Code: eng
        Text: English
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      – TitleFull: Oral cavity carcinoma detection using BAT algorithm-optimized machine learning models with transfer learning and random sampling.
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            – D: 01
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              Text: 2025 Jun
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