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

Autor:	Thamm, Florian, Denzinger, Felix, Rist, Leonhard, Vicario, Celia Martin, Kordon, Florian, Maier, Andreas
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: Challenge Report - Preprint
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2201.06259 Zobrazit plný text záznamu View this record from Arxiv