Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
arXiv:2201.06259v23 citations
AI Analysis
This work addresses medical imaging segmentation for carotid artery analysis, but appears incremental as it builds on existing U-Net methods.
The authors tackled carotid artery vessel wall segmentation by proposing a pipeline that uses U-Net and location priors, achieving results for a specific challenge.
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.