jusiro/FLAIR

[MedIA'25] FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

Language: Python - Size: 1.55 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 117 - Forks: 12

SharifAmit/RVGAN

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

Language: Python - Size: 243 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 74 - Forks: 22

JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning

ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This repository implements advanced machine learning techniques and modern neural network architectures to push the boundaries of intelligent recognition

Language: Jupyter Notebook - Size: 16 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 63 - Forks: 28

koriavinash1/Optic-Disk-Cup-Segmentation

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

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 8 days ago - Pushed at: over 6 years ago - Stars: 52 - Forks: 23

NupurBhaisare/Cup-and-disc-segmentation-for-glaucoma-detection-CDR-Calculation-

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

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: 30 days ago - Pushed at: about 6 years ago - Stars: 39 - Forks: 18

sraashis/easytorch

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.

Language: Python - Size: 120 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 5

SharifAmit/VTGAN

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

Language: Python - Size: 733 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 5

sStonemason/RET-CLIP

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports

Language: Python - Size: 245 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 23 - Forks: 2

rishiswethan/Diabetic-Retinopathy-Detection-Retinal-Vessel-Segmentation

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

Language: Python - Size: 155 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 3

ShamaLabUR/DeepVesselSeg4FP

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

Language: Python - Size: 100 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 2

SharifAmit/Attention2Angio

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

Language: Python - Size: 2.92 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 2

fatemafaria142/Retinal-Fundus-Classification-using-XAI-and-Segmentation

This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.

Language: Jupyter Notebook - Size: 867 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 2

IdeaKing/ARDD

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

Language: Python - Size: 422 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

unmonoqueteclea/retis

Diabethic Retinopathy and Macular Degeration Detection with CNNs

Language: PostScript - Size: 181 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

kjanjua26/CHIPathy

Diabetic Retinopathy using Patch Networks.

Language: Jupyter Notebook - Size: 5.66 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

Kaiftokare19/DR_Detection

An AI-powered app that detects early-stage Diabetic Retinopathy from fundus images using deep learning models like Vision Transformer and UNet.

Language: HTML - Size: 30.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

cwangrun/CIPL

[TMI 2025] Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

Language: Python - Size: 1020 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

drocheam/falco-retinal-tracking

Real-time retinal tracking for ophthalmic applications. Optimized for low quality funduscopy data and for high detection and low error rates.

Language: Python - Size: 66.4 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

rimshasaeed/Automated-Eye-Cancer-Detection

Deep ConvNets based eye cancer detection

Language: Jupyter Notebook - Size: 321 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mla96/Paired-Autoencoder-Image-Fusion

Language: Python - Size: 198 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

BupyeongHealer/khd2019_Custom Fork of khd2019/khd2019

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

Language: Python - Size: 980 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

hmchuong/ML-MedHelper

Helper framework for Medical Image Analysis

Size: 45.2 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0