Classification of the Multiple Stages of Parkinson’s Disease by a Deep Convolution Neural Network Based on <sup>99m</sup>Tc-TRODAT-1 SPECT Images

Classification of the Multiple Stages of Parkinson’s Disease by a Deep Convolution Neural Network Based on <sup>99m</sup>Tc-TRODAT-1 SPECT Images

Single photon emission computed tomography (SPECT) has been employed to detect Parkinson’s disease (PD). However, analysis of the SPECT PD images was mostly based on the region of interest (ROI) approach. Due to limited size of the ROI, especially in the multi-stage classification of PD, this study...

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Bibliographic Details
Main Authors: Shih-Yen Hsu, Li-Ren Yeh, Tai-Been Chen, Wei-Chang Du, Yung-Hui Huang, Wen-Hung Twan, Ming-Chia Lin, Yun-Hsuan Hsu, Yi-Chen Wu, Huei-Yung Chen
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Molecules
Subjects:
SPECT
Parkinson’s disease
deep learning
convolution neural network
Online Access:https://www.mdpi.com/1420-3049/25/20/4792

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