A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24
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Updated
Sep 28, 2024 - Python
A synthesis pipeline for annotation-free blood vessel segmentation in cerebral 3D OCTA images. Paper accepted @ MICCAI24
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.
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
Retinal blood vessel segmentation using a tiny U-Net model
A project to create synthetic vascular networks utilising L-Systems.
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing vasculature (or blood vessels) morphologies.
exudates detection using hybrid approach (Image Morphology & Machine Learning)
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
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