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

arXiv 2201.06259 ↗First posted 17 Jan 2022eess.IV cs.CV cs.LGcited by 0

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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.

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.

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References · 1

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713

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