Analysis of the Effectiveness of Metaheuristic Methods on Bayesian Optimization in the Classification of Visual Field Defects.

Abu, Masyitah; Zahri, Nik Adilah Hanin; Amir, Amiza; Ismail, Muhammad Izham; Yaakub, Azhany; Fukumoto, Fumiyo; Suzuki, Yoshimi

Abu, Masyitah; Zahri, Nik Adilah Hanin; Amir, Amiza; Ismail, Muhammad Izham; Yaakub, Azhany; Fukumoto, Fumiyo; Suzuki, Yoshimi.

Afiliação

Abu M; Center of Excellence for Advance Computing, Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Kangar 01000, Malaysia.
Zahri NAH; Center of Excellence for Advance Computing, Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Kangar 01000, Malaysia.
Amir A; Center of Excellence for Advance Computing, Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Kangar 01000, Malaysia.
Ismail MI; Institute of Engineering Mathematics, Faculty of Applied and Human Sciences, Universiti Malaysia Perlis, Arau 02600, Malaysia.
Yaakub A; Department of Ophthalmology & Visual Science, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia.
Fukumoto F; Graduate Faculty of Interdisciplinary Research, University of Yamanashi, Kofu 400-0016, Japan.
Suzuki Y; Graduate Faculty of Interdisciplinary Research, University of Yamanashi, Kofu 400-0016, Japan.

Diagnostics (Basel) ; 13(11)2023 Jun 02.

Article em En | MEDLINE | ID: mdl-37296798

Palavras-chave

Bayesian optimization; VGGNet; acquisition function; metaheuristic method; visual field defect

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Malásia

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