Detection of Parkinson’s Disease from Hand-Drawn Images Using Deep Transfer Learning-Reference-Cited by-同舟云学术

Detection of Parkinson’s Disease from Hand-Drawn Images Using Deep Transfer Learning

Published:2021 Issue: Volume: Page:67-84
ISSN:2367-4512
Container-title:Intelligent Learning for Computer Vision
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Author:

Das Akalpita,Das Himanish Shekhar,Choudhury Arijeet,Neog Anupal,Mazumdar Sourav

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-4582-9_6

Reference22 articles.

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2. Hariharan M, Polat K, Sindhu R (2014) A new hybrid intelligent system for accurate detection of Parkinson’s disease. Comput Methods Programs Biomed 113(3):904–913

3. Aich S, Younga K, Hui KL, Al-Absi AA, Sain M (2018) A nonlinear decision tree based classification approach to predict the Parkinson’s disease using different feature sets of voice data. In: 20th international conference on advanced communication technology (ICACT). IEEE, pp 638–642

4. Peker M, Sen B, Delen D (2015) Computer-aided diagnosis of Parkinson‟s disease using complex-valued neural networks and mRMR feature selection algorithm. J Healthc Eng 6(3):281–302

5. Zhang YN (2017) Can a smartphone diagnose parkinson disease? a deep neural network method and telediagnosis system implementation. Parkinson’s Disease

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