# 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.

## Key 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.

---
Source: https://tomesphere.com/paper/1706.00083