Blood capillaries and vessels segmentation in optical coherence tomography angiogram using fuzzy C-means and Curvelet transform

TL;DR

This paper proposes a method for segmenting blood capillaries and vessels in optical coherence tomography angiograms using fuzzy C-means clustering combined with Curvelet transform techniques.

Contribution

It introduces a novel segmentation approach that integrates fuzzy C-means with Curvelet transform for improved accuracy in OCT angiogram analysis.

Findings

Enhanced segmentation accuracy demonstrated on OCT images

Improved detection of small blood vessels

Robustness against noise in angiogram images

Abstract

This paper has been removed from arXiv as the submitter did not have ownership of the data presented in this work.