Glaucoma diagnosis in the era of deep learning: A survey-Reference-Cited by-同舟云学术

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Glaucoma diagnosis in the era of deep learning: A survey

Published:2024-12 Issue: Volume:256 Page:124888
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ashtari-Majlan Mona^ORCID,Dehshibi Mohammad Mahdi^ORCID,Masip David^ORCID

Publisher

Elsevier BV

Reference192 articles.

1. On the use of uncertainty in classifying aedes albopictus mosquitoes;Adhane;IEEE Journal of Selected Topics in Signal Processing,2022

2. A deep learning model for the detection of both advanced and early glaucoma using fundus photography;Ahn;PLoS One,2018

3. Glaucoma diagnosis using multi-feature analysis and a deep learning technique;Akter;Scientific Reports,2022

4. Xcit: Cross-covariance image transformers;Ali,2021

5. Optic disc segmentation for glaucoma screening system using fundus images;Almazroa;Clinical Ophthalmology,2017

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