CVIVJun 13, 2018

End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN

arXiv:1806.05233v153 citations
Originality Synthesis-oriented
AI Analysis

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.

Foundations

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