fundus
Here are 19 public repositories matching this topic...
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
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Aug 29, 2018 - Python
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
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Jun 8, 2022 - Python
Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"
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Apr 20, 2022 - Python
A python package to read, analyse and visualize OCT and fundus data from various sources.
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Jun 27, 2025 - Python
exudates detection using hybrid approach (Image Morphology & Machine Learning)
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Jul 9, 2018 - Python
Actively maintained and comprehensive public glaucoma dataset catalog
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Aug 3, 2024
PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss
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Feb 24, 2025 - Python
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
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Jul 10, 2025 - Python
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
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Oct 3, 2019 - MATLAB
Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public full-fundus glaucoma images and associated metadata.
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Apr 23, 2023
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.
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Aug 30, 2025 - Python
Api to host Retfound
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Dec 14, 2023 - Jupyter Notebook
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.
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Sep 2, 2025
Helper framework for Medical Image Analysis
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Jan 19, 2019
An implementation of "Fundus Image Transformation Revisited: Towards Determining More Accurate Registrations" in MATLAB.
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Aug 25, 2018 - MATLAB
Diabetic Retinopathy Detection using Deep Learning.
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Jul 23, 2023 - Jupyter Notebook
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