Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks

Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks

Intracranial artery stenosis is an important public health concern internationally, due to it being one of the major causes of ischemic stroke. In this study, we aim to provide a computer-aided diagnosis algorithm capable of automatically distinguishing between Internal Carotid Artery (ICA) stenosis...

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Bibliographic Details
Main Authors: Hunjin Chung, Koung Mi Kang, Mohammed A. Al-Masni, Chul-Ho Sohn, Yoonho Nam, Kanghyun Ryu, Dong-Hyun Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Stenosis detection
magnetic resonance angiography
internal carotid artery
deep learning
squeeze and excitation
residual networks
Online Access:https://ieeexplore.ieee.org/document/9020109/

Internet

https://ieeexplore.ieee.org/document/9020109/

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