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

Andreas Maier; Celia Martin Vicario; Felix Denzinger; Florian Kordon; Florian Thamm; Leonhard Rist

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

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arxiv 2201.06259 v2 pith:JMSV5VZ4 submitted 2022-01-17 eess.IV cs.CVcs.LG

Florian Thamm , Felix Denzinger , Leonhard Rist , Celia Martin Vicario , Florian Kordon , Andreas Maier This is my paper · ORCID

classification eess.IVcs.CVcs.LG

keywords segmentationcarotidlocationpriorsvesselwallarchitectureartery

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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.

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