Detect Parkinson's disease just from a wave sketch image!
Parkinson's disease is a brain disorder that causes unintended or uncontrollable movements, such as shaking, stiffness, and difficulty with balance and coordination. Traditionally, to detect Parkinson MRI images are used.
In 2017 a paper published to detect Parkinson by using hand sketch images. They proposed a dataset that includes wave and spiral sketches from healthy and parkinson person. And they said we can use these sketch images to detect Parkinson's disease!
I provied a method by using Few-Shot learning to detect Parkinson based on the proposed dataset in paper.
You can access to dataset from Kaggle website.
Run this notebook on Google Colab and test on proposed dataset.
You can download the pretrained model here
Accuracy on train set: 100%
Accuracy on test set: 96.~%
