The obtained image dataset from raw signal is then feed to a basic CNN model as input, the layers of the architecture is mentioned in the diagram Figure2. The obtained image dataset from raw signal is ...

A Convolutional Neural Network (CNN) model for Parkinson's Disease detection is a deep learning architecture designed to analyze medical data, typically in the form of images, to identify and diagnose ...

This makes CNN models an attractive candidate architecture for tackling medical imaging problems ... we hypothesized that our deep learning model would perform at or very close to that of a human ...