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

Abstract

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.

References in corpus (3)

• Adam: A Method for Stochastic Optimization
• Visualizing and Understanding Convolutional Networks
• Clinical Parameters Prediction for Gait Disorder Recognition

Cited by in corpus (4)

• Neural Abstractive Text Summarization and Fake News Detection
• A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
• Parkinson's Disease Detection Using Ensemble Architecture from MR Images
• Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models