A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24
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Updated
Jun 24, 2024 - Python
A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24
A high performance parallel lattice-Boltzmann code for large scale fluid flow in complex geometries
Software to analyse the topology of vascular networks.
Here we share the NTU datasets to all the researchers who are working on biometrics and forensics field.
Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing vasculature (or blood vessels) morphologies.
Blood vessel segmentation for retina and eggs.
A project to create synthetic vascular networks utilising L-Systems.
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”
Blood vessels and Exudates extraction for the detection of Diabetic Retinopathy
Matlab and python implementation of retinal blood vessel segmentation
Retinal blood vessel segmentation using a tiny U-Net model
Segmentation of retinal images for vessel in DRIVE dataset using U-Net
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
exudates detection using hybrid approach (Image Morphology & Machine Learning)
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.
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