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

A django based application to predict the severity of diabetic retinopathy

This is the official implementation of the paper Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.

[MICCAI'24 Early Accept] Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

CNN system analyzes retinal images & provides instant diagnoses, improving accuracy & reliability. The platform features a user-friendly interface implemented with Flask, allowing easy accessibility for users to upload images & to receive results.

This repo is the official implementation of "Prompt-driven Latent Domain Generalization for Medical Image Classification".

Papers and Public Datasets for Diabetic Retinopathy Detection

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

Diabetic Retinopathy Feature Extraction and Binary Diagnosis

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.

MATLAB-Image Processing

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

Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors

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

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.

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 Retinopathy Detection Machine Learning

GUI Application for IR Thermogram Platfrom based on MLX90614 and ESP32

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

Bayesian Deep Learning Benchmarks