End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN
This work addresses Parkinson disease diagnosis for medical professionals, but it appears incremental as it applies existing deep learning techniques to a specific medical dataset.
The authors tackled Parkinson disease diagnosis by developing a deep learning framework that performs simultaneous classification and regression using brain MR-images and personal information, resulting in a method intended to facilitate and increase diagnostic confidence.
In this work, we use a deep learning framework for simultaneous classification and regression of Parkinson disease diagnosis based on MR-Images and personal information (i.e. age, gender). We intend to facilitate and increase the confidence in Parkinson disease diagnosis through our deep learning framework.