Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
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Updated
Aug 29, 2018 - Python
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.
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.
Segmentation of retinal images for vessel in DRIVE dataset using U-Net
Software to analyse the topology of vascular networks.
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.
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