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.

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

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.

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"

[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 Retinopa…

Joint Vessel Segmentation and Deformable Registration on Multi-Modal Retinal Images based on Style Transfer

Personal paper list on OCT segmentation

Retinal image analysis in MATLAB

Deep learning based retinal vessel segmentation for fluorescein angiography retinal images, IEEE Trans. Image Processing, 2020

3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)

Deep learning based retinal vessel segmentation for wide-field fundus photography retinal images, IEEE Trans. Medical Imaging, 2020

ICML Workshop 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

Retinal image processing with python and opencv

ICML 18 workshop - A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases