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fundus

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The Hamilton Eye Institute Macular Edema Dataset (HEI-MED) (formerly DMED) is a collection of 169 fundus images to train and test image processing algorithms for the detection of exudates and diabetic macular edema. The images have been collected as part of a telemedicine network for the diagnosis of diabetic retinopathy

  • Updated Oct 3, 2019
  • MATLAB

A Python package for computing the recall and precision scores specifically on thin vessels in retinal images, as detailed in our paper: {LINK TO THE PAPER}. The package also includes a function for visualizing thickness-based filtered masks, the basic structure for computing the proposed metrics.

  • Updated Aug 30, 2025
  • Python

GF-Care (Glaucoma Fundus – Cup-to-disc ratio Assessment for Retinal Evaluation) A deep learning-based system for automatic segmentation of the optic disc and cup from fundus images, enabling cup-to-disc ratio (CDR) calculation to support early glaucoma detection.

  • Updated Sep 2, 2025

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