Providing retinal image analysis through your smartphone.
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Updated
Jul 15, 2020 - CSS
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
Voronoi analysis of vascular networks in the eye
A tool for quantitative analysis of sprouting angiogenesis and lumen space
Retina Imaging Toolbox (RIT)
(CS F266) An ImageJ macro for Quantitative Analysis of OCTA images.
MOVED to https://gitlab.com/nicstrisc/B-COSFIRE-MATLAB. Matlab implementation of the B-COSFIRE filters for detection of curvilinear patterns in images
AI telegram-bot - "MedEyeService"
A deep learning model built to detect cataract in human eyes using the VGG-19 pretrained weights
Diabetic classification based on retinal images
Optic disc detection in a retina image using a fully connected convolutional neural network.
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
Implementing a remote sensing object detector using Tensorflow object detection API
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.
exudates detection using hybrid approach (Image Morphology & Machine Learning)
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2
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