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Hybrid deep learning novel framework for classification of parkinson’s disease - Scientific Reports

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By Shivani Desai, Smit Shah, Kanisha Shah, Tarjni Vyas, Anuja Nair, Pranshav Gajjar, Shailesh Gupta, Riki Patel, Harshal Sanghvi, Meet Vora, Hitesh Chhikaniwala
| Nature Verified
Abstract Parkinson’s disease is a progressive neurodegenerative disorder that primarily affects the motor system and is often difficult to diagnose in its early stages due to subtle and age-overlapping symptoms. To address this challenge, we propose a hybrid deep learning-based diagnostic framework using T2-weighted MRI scans from the PPMI dataset consisting of 77 healthy control (HC) and 223 Parkinson’s disease (PD) subjects.
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