all AI news
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis. (arXiv:2204.13188v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Identification of brain regions related to the specific neurological
disorders are of great importance for biomarker and diagnostic studies. In this
paper, we propose an interpretable Graph Convolutional Network (GCN) framework
for the identification and classification of Alzheimer's disease (AD) using
multi-modality brain imaging data. Specifically, we extended the Gradient Class
Activation Mapping (Grad-CAM) technique to quantify the most discriminative
features identified by GCN from brain connectivity patterns. We then utilized
them to find signature regions of interest (ROIs) by …
alzheimer's arxiv brain brain imaging diagnosis disease disease diagnosis graph imaging network