Automatic segmentation of hemispheric CSF on MRI using deep learning: Quantifying cerebral edema following large hemispheric infarction

Automatic segmentation of hemispheric CSF on MRI using deep learning: Quantifying cerebral edema following large hemispheric infarction

Background and objective: Cerebral edema (CED) is a serious complication of acute ischemic stroke (AIS), especially in patients with large hemispheric infarction (LHI). Herein, a deep learning-based approach is implemented to extract CSF from T2-Weighted Imaging (T2WI) and evaluate the relationship...

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Bibliographic Details
Main Authors: Junzhao Cui, Jingyi Yang, Ye Wang, Meixin Ma, Ning Zhang, Rui Wang, Biyi Zhou, Chaoyue Meng, Peng Yang, Jianing Yang, Lei Xu, Guojun Tan, Lidou Liu, Junli Zhen, Li Guo, Xiaoyun Liu
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Deep learning
Large hemispheric infarction
Cerebral edema
Cerebrospinal fluid volume
Magnetic resonance imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402402704X

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http://www.sciencedirect.com/science/article/pii/S240584402402704X

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