In-Depth Evaluation of Saliency Maps for Interpreting Convolutional Neural Network Decisions in the Diagnosis of Glaucoma Based on Fundus Imaging

In-Depth Evaluation of Saliency Maps for Interpreting Convolutional Neural Network Decisions in the Diagnosis of Glaucoma Based on Fundus Imaging

Glaucoma, a leading cause of blindness, damages the optic nerve, making early diagnosis challenging due to no initial symptoms. Fundus eye images taken with a non-mydriatic retinograph help diagnose glaucoma by revealing structural changes, including the optic disc and cup. This research aims to tho...

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Bibliographic Details
Main Authors: Jose Sigut, Francisco Fumero, José Estévez, Silvia Alayón, Tinguaro Díaz-Alemán
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
saliency methods
glaucoma diagnosis
convolutional neural networks
deep learning
retinal fundus images
Online Access:https://www.mdpi.com/1424-8220/24/1/239

Internet

https://www.mdpi.com/1424-8220/24/1/239

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