Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models

Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models

This study focuses on overcoming challenges in classifying eye diseases using color fundus photographs by leveraging deep learning techniques, aiming to enhance early detection and diagnosis accuracy. We utilized a dataset of 6392 color fundus photographs across eight disease categories, which was l...

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Bibliographic Details
Main Authors: Jing-Zhe Wang, Nan-Han Lu, Wei-Chang Du, Kuo-Ying Liu, Shih-Yen Hsu, Chi-Yuan Wang, Yun-Ju Chen, Li-Ching Chang, Wen-Hung Twan, Tai-Been Chen, Yung-Hui Huang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Healthcare
Subjects:
color fundus photographs
CNN
deep learning
Online Access:https://www.mdpi.com/2227-9032/11/15/2228

Internet

https://www.mdpi.com/2227-9032/11/15/2228

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