MOVED to https://gitlab.com/nicstrisc/B-COSFIRE-MATLAB. Matlab implementation of the B-COSFIRE filters for detection of curvilinear patterns in images
-
Updated
Jul 3, 2017 - MATLAB
MOVED to https://gitlab.com/nicstrisc/B-COSFIRE-MATLAB. Matlab implementation of the B-COSFIRE filters for detection of curvilinear patterns in images
Optic disc detection in a retina image using a fully connected convolutional neural network.
exudates detection using hybrid approach (Image Morphology & Machine Learning)
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
Implementing a remote sensing object detector using Tensorflow object detection API
Voronoi analysis of vascular networks in the eye
Diabetic classification based on retinal images
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
Providing retinal image analysis through your smartphone.
Material related to "Caracterización de la morfología foveal: parametrización, diferencias de sexo y efectos de la edad", CASEIB, 2020
A deep learning model built to detect cataract in human eyes using the VGG-19 pretrained weights
(CS F266) An ImageJ macro for Quantitative Analysis of OCTA images.
AI telegram-bot - "MedEyeService"
A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2
A tool for quantitative analysis of sprouting angiogenesis and lumen space
Retina Imaging Toolbox (RIT)
Support repository for the paper "Retinal vessel segmentation based on Fully Convolutional Neural Networks", Expert Systems with Applications, Volume 112, 1 December 2018, Pages 229-242.
Add a description, image, and links to the retina-image-analysis topic page so that developers can more easily learn about it.
To associate your repository with the retina-image-analysis topic, visit your repo's landing page and select "manage topics."