Skip to content
#

fundus

Here are 21 public repositories matching this topic...

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 and generating weight masks for BCE Loss to enhance models perfomance on segmenting these fine structures, as detailed in the paper "Vessel-Width-Based Metrics and Weight Masks for Retinal Blood Vessel Segmentation".

  • Updated Sep 23, 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

Improve this page

Add a description, image, and links to the fundus topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the fundus topic, visit your repo's landing page and select "manage topics."

Learn more