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.vscode		.vscode
compiled_file_addr		compiled_file_addr
exploratory-notebooks		exploratory-notebooks
src		src
.env_sample		.env_sample
.gitignore		.gitignore
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LICENSE		LICENSE
README.md		README.md
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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

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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.