Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

exudates detection using hybrid approach (Image Morphology & Machine Learning)

A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing vasculature (or blood vessels) morphologies.

A high performance parallel lattice-Boltzmann code for large scale fluid flow in complex geometries

Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).

Retinal blood vessel segmentation using a tiny U-Net model

A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24

A project to create synthetic vascular networks utilising L-Systems.

Here we share the NTU datasets to all the researchers who are working on biometrics and forensics field.

Matlab and python implementation of retinal blood vessel segmentation

Blood vessel segmentation for retina and eggs.

Software to analyse the topology of vascular networks.

Segmentation of retinal images for vessel in DRIVE dataset using U-Net

Blood vessels and Exudates extraction for the detection of Diabetic Retinopathy

This work aims to explore a new approach to model the encephalic vasculature using the formalism of graphs that naturally fit the structure of blood vessels.

This repository hosts the script that was utilized for report the results of the journal article: “Visualization of Blood Vessels in in-vitro Raw Speckle Images Using an Energy-based on DWT Coefficients”

A blood vessel KNN classifier for retinal images