A Fine-Tuned Transfer Learning Approach for Parkinson’s Disease Detection on New Hand PD Dataset

Author:

Mitra SakalyaORCID,Mohan Pandey PranjalORCID,Pandey VedantORCID,Sharma TraptiORCID,Nair Rajit

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Makarious, M.B., et al.: Multi-modality machine learning predicting Parkinson’s disease. npj Parkinson's Disease 8(1), 35 (2022)

2. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);N Nahar,2021

3. Krishna, P.G., StalinDavid, D.: An effective Parkinson’s disease prediction using logistic decision regression and machine learning with big data. Turk. J. Physiother. Rehabil. 32(3), 778–786 (2021)

4. Shahid, A.H., Singh, M.P.: A deep learning approach for prediction of Parkinson’s disease progression. Biomed. Eng. Lett. 10, 227–239 (2020)

5. Mozhdehfarahbakhsh, A., Chitsazian, S., Chakrabarti, P., Chakrabarti, T., Kateb, B., Nami, M.: An MRI-based deep learning model to predict Parkinson’s disease stages. medRxiv, pp. 2021-02 (2021)

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