Flask App that predicts the presence of diabetic retinopathy in each image on a scale of 0 to 4.

This repository contains a classification model made by Matlab for Diabetic Retinopathy Detection.

MATLAB-Image Processing

A summary of my approaches for the Diabetic Retinopathy Image Classification Dataset

Datasets for the paper "DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge", published on Patterns 2022.

Diabetic retinopathy classification network

Vision Transformers For Robust Diabetic Retinopathy Detection

The goal of this project is to provide an automated solution for early detection of diabetic retinopathy which is a leading cause of blindness, using pretrained models - ResNet, VGG, and AlexNet.

[MICCAI'2024 early accept] Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

GUI Application for IR Thermogram Platfrom based on MLX90614 and ESP32

Diabetic Retinopathy Detection Machine Learning

This is a Categorical Detection and Prediction Task based on subset of a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (transfer learning via resnet50). This Automated System would speed up Blindness detecti…

This is a web application that aims to help with the diagnosis of various diseases such as breast cancer, chronic kidney disease, coronary heart disease, liver disease, and diabetes mellitus by analyzing different parameters. The application employs machine learning models on the backend, which is a technique of integrating several ML models

Repository corresponding to the TFG 'Detection of the degree of diabetic retinopathy by means of convolutional networks' of the bachelor's degree in Bioengineering of the University of Burgos.

Diabetic-Retinopaty-EfficientNet-V2-L

Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors

This project was carried out in 2022 during the [SCC0276] Machine Learning course at the University of São Paulo (USP) at the Institute of Mathematical and Computer Sciences (ICMC). The objective is the detection and classification of diabetic retinopathy, a disease that affects individuals with diabetes.

A Systematic Comparison of Robustness in Bayesian Deep Learning on Diabetic Retinopathy Diagnosis Tasks

Learning a thing or two about AI/ML in healthcare

Blood vessels and Exudates extraction for the detection of Diabetic Retinopathy