[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network

FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

ODIR-2019. Ocular Disease Intelligent Recognition Through Deep Learning Architectures

Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network

[ICCV'21] [Tensorflow] Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers

An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

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

[ICPR'20] [Tensorflow] Synthesizing Fluorescein Angiography from Retinal Fundus Images using Attention based GAN

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

Deep ConvNets based eye cancer detection

Auto Retinal Disease Detection (ARDD) is the winning webapp of the 2020 Congressional App Challenge for Virginia's 10th District.

Information about training model and GradCam

Diabetic Retinopathy using Patch Networks.

Diabethic Retinopathy and Macular Degeration Detection with CNNs

Our custom AI Pipeline on Fundus disease for 2019 Konyang-hackathon.

Helper framework for Medical Image Analysis