Multi-Dataset Comparison of Vision Transformers and Convolutional Neural Networks for Detecting Glaucomatous Optic Neuropathy from Fundus Photographs

Multi-Dataset Comparison of Vision Transformers and Convolutional Neural Networks for Detecting Glaucomatous Optic Neuropathy from Fundus Photographs

Glaucomatous optic neuropathy (GON) can be diagnosed and monitored using fundus photography, a widely available and low-cost approach already adopted for automated screening of ophthalmic diseases such as diabetic retinopathy. Despite this, the lack of validated early screening approaches remains a...

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Bibliographic Details
Main Authors: Elizabeth E. Hwang, Dake Chen, Ying Han, Lin Jia, Jing Shan
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Bioengineering
Subjects:
glaucoma
deep learning
vision transformer
fundus photography
Online Access:https://www.mdpi.com/2306-5354/10/11/1266

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