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

Image and Video Processing 2022-05-17 v2 Computer Vision and Pattern Recognition Machine Learning
Authors: Florian Thamm , Felix Denzinger , Leonhard Rist , Celia Martin Vicario , Florian Kordon , Andreas Maier
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Abstract

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.

Keywords

carotid artery vessel wall segmentation U-Net location priors deep learning

Cite

@article{arxiv.2201.06259,
  title  = {Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors},
  author = {Florian Thamm and Felix Denzinger and Leonhard Rist and Celia Martin Vicario and Florian Kordon and Andreas Maier},
  journal= {arXiv preprint arXiv:2201.06259},
  year   = {2022}
}

Comments

Challenge Report - Preprint

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