A deep learning approach for classification and diagnosis of Parkinson’s disease
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07275-6.pdf
Reference43 articles.
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3. Choi H, Ha S, Im HJ, Paek SH, Lee DS (2017) Refining diagnosis of parkinson’s disease with deep learning-based interpretation of dopamine transporter imaging. NeuroImage Clin 16:586–594
4. Das R (2010) A comparison of multiple classification methods for diagnosis of Parkinson disease. Expert Syst Appl 37:1568–1572
5. Dastgheib ZA, Lithgow B, Moussavi Z (2012) Diagnosis of parkinsons disease using electrovestibulography. Med Biol Eng Compu 50:483–491
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