z-logo
open-access-imgOpen Access
Computer-aided pancreas segmentation based on 3D GRE Dixon MRI: a feasibility study
Author(s) -
Xiaoliang Gong,
Chao Ma,
Panpan Yang,
Yufei Chen,
Chaolin Du,
Caixia Fu,
Jianping Lu
Publication year - 2019
Publication title -
acta radiologica open
Language(s) - English
Resource type - Journals
ISSN - 2058-4601
DOI - 10.1177/2058460119834690
Subject(s) - segmentation , artificial intelligence , computer science , pancreas , computer vision , medicine
Computer-aided pancreas segmentation based on Dixon MRI is feasible. The water images of optimized Dixon obtained the best similarity with a good stability.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom