Bookmark Saya

arXiv Open Access 2022

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

Florian Thamm Felix Denzinger Leonhard Rist Celia Martin Vicario Florian Kordon +1 lainnya
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

eess.IV cs.CV cs.LG

Penulis (6)

F

Florian Thamm

F

Felix Denzinger

L

Leonhard Rist

C

Celia Martin Vicario

F

Florian Kordon

A

Andreas Maier

Format Sitasi

APA MLA BibTeX
Thamm, F., Denzinger, F., Rist, L., Vicario, C.M., Kordon, F., Maier, A. (2022). Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. https://arxiv.org/abs/2201.06259

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓