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fundus-image-analysis

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ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This repository implements advanced machine learning techniques and modern neural network architectures to push the boundaries of intelligent recognition

  • Updated Mar 5, 2023
  • Jupyter Notebook
easytorch

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

  • Updated Dec 6, 2023
  • Python

This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.

  • Updated Apr 29, 2024
  • Jupyter Notebook

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