Segmentation of Cerebral Small Vessel Diseases-White Matter Hyperintensities Based on a Deep Learning System

Segmentation of Cerebral Small Vessel Diseases-White Matter Hyperintensities Based on a Deep Learning System

Objective: Reliable quantification of white matter hyperintensities (WHMs) resulting from cerebral small vessel diseases (CSVD) is essential for understanding their clinical impact. We aim to develop and clinically validate a deep learning system for automatic segmentation of CSVD-WMH from fluid-att...

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Bibliographic Details
Main Authors: Wei Shan, Yunyun Duan, Yu Zheng, Zhenzhou Wu, Shang Wei Chan, Qun Wang, Peiyi Gao, Yaou Liu, Kunlun He, Yongjun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Medicine
Subjects:
masking white matter hyperintensities
deep learning
neural network
segmentation
clinical evaluation
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.681183/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.681183/full

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