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

Numerous research have demonstrated that Convolutional Neural Network (CNN) models are capable of classifying visual field (VF) defects with great accuracy. In this study, we evaluated the performance of different pre-trained models (VGG-Net, MobileNet, ResNet, and DenseNet) in classifying VF defect...

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Detalles Bibliográficos
Autores principales: Abu, Masyitah, Zahri, Nik Adilah Hanin, Amir, Amiza, Ismail, Muhammad Izham, Yaakub, Azhany, Anwar, Said Amirul, Ahmad, Muhammad Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140208/
https://www.ncbi.nlm.nih.gov/pubmed/35626413
http://dx.doi.org/10.3390/diagnostics12051258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140208/
https://www.ncbi.nlm.nih.gov/pubmed/35626413
http://dx.doi.org/10.3390/diagnostics12051258

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