Auxiliary diagnosis of heterogeneous data of Parkinson’s disease based on improved convolution neural network

Author:

Yin Dai,Zhao Yiqi,Wang Yang,Zhao Wenpu,Hu Xiaoming

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference20 articles.

1. Alzubi J, Nayyar A, Kumar A (2018) Machine learning from theory to algorithms: an overview [C]//journal of physics: conference series. IOP Publishing 1142(1):012012

2. Cheng Y, Huifang S (2017) Interpretation of 2016 Chinese PD diagnostic criteria [J]. Chinese Journal of Practical Internal Medicine 37(02):124–126

3. Zhao Dan, Mao Chuan-Wan, Huang Jianhe 2010, et al. A magnetic resonance imaging study of the pars Compacta of Substantia Nigra in PD [J]. Chin J Clin Neurosci, 18(2):130–134.

4. Li Dan, Shen Xiajiong, Zhang Haixiang 2016, et al. Improved convolutional neural network based on Lenet-5[J]. Computer Era (08):4–12.

5. Fang Y, Gang Y, Jun X (2014) Meta analysis of risk factors and protective factors for Parkinson disease in Chinese population [J]. Clin Neurol 27(02):111–115

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