Papers and Public Datasets for Diabetic Retinopathy Detection

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

Code for the paper "nnMobileNet: Rethinking CNN for Retinopathy Research"

A Django application developped for classification of a diabetes complication that affects eyes

AI-driven initiative to assist hospitals and rural clinics in early detection of Diabetic Retinopathy, supporting accessible eye care for all through open healthcare innovation.

Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination

Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)

exudates detection using hybrid approach (Image Morphology & Machine Learning)

🥉 (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.

Identifying retina images with diabetic retinopathy using convolutional neural networks.

Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in early stages, This project is a part of the whole process of identifying Diabetic Retinopathy in its early stages. In this project, we'll extract basic features which can help us in identifying Diabetic Retinopa…

A Deep Convolutional Neural Network for Diabetic Retinopathy classification

Deep Learning Project on Diabetic Retinopathy Detection - TUM Team ID 47

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

O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.

Classification of Fundus Images into 5 stages of Diabetic Retinopathy, and segmentation of blood vessels in fundus images

New project, powerful model

Diabetic Retinopathy Detection: Utilizing Multiprocessing for Processing Large Datasets and Transfer Learning to Fine-Tune Deep Learning Models | PyTorch