Popular GitHub Repositories for Fundus

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification

[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network

Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING

Re-colorize and enhance color fundus images. Image Enhancement Toolkit for Retinal Fundus Images (IETK-Ret).

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

Deep learning based retinal vessel segmentation for wide-field fundus photography retinal images, IEEE Trans. Medical Imaging, 2020

FFA Synthesis from CFP （ACM MM 2024 Workshop）

In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.

This is an official implementation of 'A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images'

This is an official pytorch implementation of 'Anomaly Detection via Gating Highway Connection for Retinal Fundus Images'.

The project involves using a dataset of 100 high-resolution retinal fundus images for blood vessel segmentation to aid in early detection of retinal pathologies | Implemented U-Net architecture from scratch, known for its efficiency in semantic segmentation with limited data | The final model achieved 86% IoU score | PyTorch Lightning

Auto Retinal Disease Detection (ARDD) is the winning webapp of the 2020 Congressional App Challenge for Virginia's 10th District.

CNN model to detect glaucoma disease using fundus images

Comparison of Classical and Deep Learning-Based Feature Representations for Age-Related Macular Degeneration