Skip Connection U-Net for White Matter Hyperintensities Segmentation From MRI

Skip Connection U-Net for White Matter Hyperintensities Segmentation From MRI

White matter hyperintensity (WMH) is associated with various aging and neurodegenerative diseases. In this paper, we proposed and validated a fully automatic system which integrates classical image processing and deep neural network for segmenting WHM from fluid attenuation inversion recovery (FLAIR...

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Bibliographic Details
Main Authors: Jiong Wu, Yue Zhang, Kai Wang, Xiaoying Tang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
white matter hyperintensity
skip connection
U-net
Online Access:https://ieeexplore.ieee.org/document/8877824/

Internet

https://ieeexplore.ieee.org/document/8877824/

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