Parkinson's Disease Detection with Ensemble Architectures based on ILSVRC Models

23 Jul 2020Tahjid Ashfaque MostafaIrene Cheng

In this work, we explore various neural network architectures using Magnetic Resonance (MR) T1 images of the brain to identify Parkinson's Disease (PD), which is one of the most common neurodegenerative and movement disorders. We propose three ensemble architectures combining some winning Convolutional Neural Network models of ImageNet Large Scale Visual Recognition Challenge (ILSVRC)... (read more)

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