Classification of the Multiple Stages of Parkinson’s Disease by a Deep Convolution Neural Network Based on (99m)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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Detalles Bibliográficos
Autores principales: Hsu, Shih-Yen, Yeh, Li-Ren, Chen, Tai-Been, Du, Wei-Chang, Huang, Yung-Hui, Twan, Wen-Hung, Lin, Ming-Chia, Hsu, Yun-Hsuan, Wu, Yi-Chen, Chen, Huei-Yung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7587595/
https://www.ncbi.nlm.nih.gov/pubmed/33086589
http://dx.doi.org/10.3390/molecules25204792

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7587595/
https://www.ncbi.nlm.nih.gov/pubmed/33086589
http://dx.doi.org/10.3390/molecules25204792

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