A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease.
Journal:
Journal of neuroscience methods
Published Date:
May 25, 2019
Abstract
BACKGROUND: Hippocampus is one of the first structures affected by neurodegenerative diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). Hippocampal atrophy can be evaluated in terms of hippocampal volumes and shapes using structural MR images. However, the shape and volume features from hippocampus mask have limited discriminative information for AD diagnosis. In addition, extraction of these features is independent of classification model, resulting to sub-optimal performance for disease diagnosis.