A Fully Automatic Framework for Parkinson’s Disease Diagnosis by Multi-Modality Images

A Fully Automatic Framework for Parkinson’s Disease Diagnosis by Multi-Modality Images

BackgroundParkinson’s disease (PD) is a prevalent long-term neurodegenerative disease. Though the criteria of PD diagnosis are relatively well defined, current diagnostic procedures using medical images are labor-intensive and expertise-demanding. Hence, highly integrated automatic diagnostic algori...

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Bibliographic Details
Main Authors: Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu, Xiahai Zhuang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Neuroscience
Subjects:
Parkinson’s disease
multi-modality
image classification
U-Net
striatum
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00874/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.00874/full

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