Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease

Author:

Madadi YeganehORCID,Abu-Serhan HashemORCID,Yousefi Siamak

Funder

National Institutes of Health

Research to Prevent Blindness

Publisher

Elsevier BV

Reference45 articles.

1. Predicting Glaucoma before Onset Using Deep Learning;Thakur;Ophthalmol Glaucoma,2020

2. Detecting Glaucoma in the Ocular Hypertension Study using deep learning;Rui Fan;JAMA Ophthalmol,2022

3. Prevalence of primary open angle glaucoma in the last 20 years: a meta-analysis and systematic review;Zhang;Sci Rep,2021

4. Lessons Learned From 2 Large Community-based Glaucoma Screening Studies;Kolomeyer;J. Glaucoma,2021

5. Recent trends and advances in fundus image analysis: A review;Iqbal;Comput Biol Med,2022

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1. Predicting Glaucoma Before Onset Using a Large Language Model Chatbot;American Journal of Ophthalmology;2024-10

2. Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives;Ophthalmology Glaucoma;2024-08

3. Glaucoma Abnormality Classification Using Yolo and Swin Transformer;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

4. Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

5. Brighteye: Glaucoma Screening with Color Fundus Photographs Based on Vision Transformer;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

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