# Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors

arXiv: https://arxiv.org/abs/2201.06259 · HTML: https://mlsanity.com/paper/2201.06259/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 5 references that are in the map.
- First posted on arXiv 17 Jan 2022.

## Builds on (most cited first, 1 of 1)

- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://mlsanity.com/paper/1505.04597/) (2015)

## Abstract (arXiv)

In this report we want to present our method and results for the Carotid Artery Vessel Wall Segmentation Challenge. We propose an image-based pipeline utilizing the U-Net architecture and location priors to solve the segmentation problem at hand.