GlaucomaNet

A deep-learning algorithm for the diagnosis of primary open-angle glaucoma from fundus photographs

Datasets

Ocular Hypertension Treatment Study (OHTS) is one of the largest longitudinal clinical trials in POAG (1,636 participants and 37,399 images) from 22 centers in the United States. The study protocol was approved by an independent Institutional Review Board at each clinical center. Please visit the website to obtain a copy of the dataset.

[Large-scale attention-based glaucoma (LAG)] (https://github.com/smilell/AG-CNN)is a publicly available database collected at the Chinese Glaucoma Study Alliance and Beijing Tongren Hospital . LAG contains 4,855 fundus images, of which 35% (1,711) have POAG.

Getting started

Prerequisites

python >=3.6
pytorch = 1.11.0
torchvision = 0.12.0
sklearn
pandas
opencv
skimage
json
pickle
tqdm

Quickstart

python train.py

Reference

Acknowledgment

This project was supported by the National Library of Medicine under award number 4R00LM013001. This work was also supported by awards from the National Eye Institute, the National Center on Minority Health and Health Disparities, National Institutes of Health (grants EY09341, EY09307), Horncrest Foundation, awards to the Department of Ophthalmology and Visual Sciences at Washington University, the NIH Vision Core Grant P30 EY 02687, Merck Research Laboratories, Pfizer, Inc., White House Station, New Jersey, and unrestricted grants from Research to Prevent Blindness, Inc., New York, NY.