Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.vscode		.vscode
compiled_file_addr		compiled_file_addr
exploratory-notebooks		exploratory-notebooks
src		src
.env_sample		.env_sample
.gitignore		.gitignore
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
README.md.bak		README.md.bak
analysis.py		analysis.py
directories_image.png		directories_image.png
repo_template.png		repo_template.png
requirements.txt		requirements.txt
run.sh		run.sh
setup_environment.py		setup_environment.py

Repository files navigation

Glaucoma Classification

About

This project focuses on detecting glaucoma using deep learning models trained on fundus images. It includes data preprocessing, supervised learning with ResNet50, self-supervised learning using Masked Autoencoders (MAE), and domain adaptation techniques to improve model generalization across different datasets.

Readme

MIT license