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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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