A Comprehensive Performance Analysis of Transfer Learning Optimization in Visual Field Defect Classification.

Abu, Masyitah; Zahri, Nik Adilah Hanin; Amir, Amiza; Ismail, Muhammad Izham; Yaakub, Azhany; Anwar, Said Amirul; Ahmad, Muhammad Imran

Abu, Masyitah; Zahri, Nik Adilah Hanin; Amir, Amiza; Ismail, Muhammad Izham; Yaakub, Azhany; Anwar, Said Amirul; Ahmad, Muhammad Imran.

Afiliación

Abu M; Center of Excellence for Advanced Computing, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Kangar 01000, Malaysia.
Zahri NAH; Center of Excellence for Advanced Computing, Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Kangar 01000, Malaysia.
Amir A; Center of Excellence for Advanced 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, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia.
Anwar SA; Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.
Ahmad MI; Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia.

Diagnostics (Basel) ; 12(5)2022 May 18.

Article en En | MEDLINE | ID: mdl-35626413

Palabras clave

CNN; VF defect; fine-tuning; hyperparameter

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Malasia

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