Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Background and Objective: Ventricle volume is closely related to hydrocephalus, brain atrophy, Alzheimer's, Parkinson's syndrome, and other diseases. To accurately measure the volume of the ventricles for elderly patients, we use deep learning to establish a systematic and comprehensive au...

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Bibliographic Details
Main Authors: Xi Zhou, Qinghao Ye, Yinghui Jiang, Minhao Wang, Zhangming Niu, Wade Menpes-Smith, Evandro Fei Fang, Zhi Liu, Jun Xia, Guang Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Aging Neuroscience
Subjects:
deep learning
neuroimage
magnetic resonance imaging
ventricular segmentation
image segmentation
convolutional neural network (CNN)
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2020.618538/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2020.618538/full

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