There are 6 repositories under retinal-images topic.
ZKLibrary is PHP library for reading and writing data to attendance device using UDP protocol. This library useful to comunicate between web server and attendance device directly without addition program. This library is implemented in the form of class. So that you can create an object and use it functions.
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.
A Django application developped for classification of a diabetes complication that affects eyes
[TMI'22] "AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation".
exudates detection using hybrid approach (Image Morphology & Machine Learning)
Deep learning applied to Kaggle's Diabetic retinopathy dataset.
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
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 Retinopathy in its early stages.
Joint Vessel Segmentation and Deformable Registration on Multi-Modal Retinal Images based on Style Transfer
Personal paper list on OCT segmentation
3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)
Deep learning based retinal vessel segmentation for fluorescein angiography retinal images, IEEE Trans. Image Processing, 2020
Deep learning based retinal vessel segmentation for wide-field fundus photography retinal images, IEEE Trans. Medical Imaging, 2020
Retinal image processing with python and opencv
Diabetic Retinopathy Classifier built with fastai and Heroku
Diabetic classification based on retinal images
Matlab and python implementation of retinal blood vessel segmentation
In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.
ACCV'18 workshop - Synthesizing New Retinal Symptom Images by Multiple Generative Models
Gaussian Field Estimator with Manifold Regularization for Retinal Image Registration
Code for the paper "OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing"
Code for our paper "Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation". https://arxiv.org/abs/2105.09365
MATLAB code for "Luminosity rectified blind Richardson-Lucy deconvolution for single retinal image restoration"
Predicting race from medical images.
A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region-Based Otsu Thresholding
MOVED to https://gitlab.com/nicstrisc/B-COSFIRE-MATLAB. Matlab implementation of the B-COSFIRE filters for detection of curvilinear patterns in images
Postcss plugin for generate miniature images for image-set()