Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images using Deep Learning
This repository contains source codes for implementing models and reproducing the results in the following paper:
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images using Deep Learning
Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D.L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, and Yifan Peng*
Machine Learning in Medical Imaging 2022, https://link.springer.com/chapter/10.1007/978-3-031-21014-3_2
The source codes were written in Python 3.7.1 with Tensorflow version above 2.5.0
We used the data from AREDS, which was sponsored by the National Eye Institute of the National Institutes of Health. The data is publicly available upon request: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000001.v3.p1.
Source codes for all models are available in src folder. Please refer model_main.py for implementation and hyperparameter setting.
Please send any questions about the code to jlee3541 at gatech.edu.