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Abstract #1996

Detection of Alzheimer’s Disease Patients Based on Single Brain Region by Convolution Neural Networks

Yanwu Yang1, Heather T. Ma1, Chenfei Ye1, Junjie Liu1, and Chushu Yang1

1Harbin Institute of Technology (Shenzhen), Shezhen, China

Diagnosis plays an important role in preventing progress and treating the Alzheimer’s disease (AD). This paper proposed to predict the AD with a convolutional neural network (CNN), which can learn generic features capturing AD biomarkers. In particular, we extract some specific brain regions from structural MRI and apply MR features from the brain regions to detect AD patients in CNN framework, achieving accuracy up to 99% and outperforming some other classifiers from other studies.

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