Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification

Conclusions The analysis of handwritten dynamics using deep learning techniques showed to be useful for automatic Parkinson's disease identification, as well as it can outperform handcrafted features.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research