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

2022/01/17 by Thamm, Florian, Denzinger, Felix, Rist, Leonhard +3
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2201.06259

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.

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