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Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer’s Disease

2020-06-26

Abstract excerpt

<h4> A bstract </h4> In this work we propose three explainable deep learning architectures to automatically detect patients with Alzheimer’s disease based on their language abilities. The architectures use: (1) only the part-of-speech features; (2) only language embedding features and (3) both of these feature classes via a unified architecture. We use self-attention mechanisms and interpretable 1-dimensional C...

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Literature Corpus work
05e1a1f0-47ae-5d8c-bc60-5f4b19a117cc
DOI
10.1101/2020.06.24.20139592
Open publication

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Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer’s DiseaseDOI 10.1101/2020.06.24.20139592
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