Comparison of the Performance of Convolutional Neural Networks and Vision Transformer-Based Systems for Automated Glaucoma Detection with Eye Fundus Images

Comparison of the Performance of Convolutional Neural Networks and Vision Transformer-Based Systems for Automated Glaucoma Detection with Eye Fundus Images

Glaucoma, a disease that damages the optic nerve, is the leading cause of irreversible blindness worldwide. The early detection of glaucoma is a challenge, which in recent years has driven the study and application of Deep Learning (DL) techniques in the automatic classification of eye fundus images...

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Bibliographic Details
Main Authors: Silvia Alayón, Jorge Hernández, Francisco J. Fumero, Jose F. Sigut, Tinguaro Díaz-Alemán
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
convolutional neural network
vision transformer-based system
glaucoma
fundus imaging
Online Access:https://www.mdpi.com/2076-3417/13/23/12722

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