Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification

arXiv:2404.10433v1 Announce Type: cross
Abstract: Motivation. While recent studies show high accuracy in the classification of Alzheimer's disease using deep neural networks, the underlying learned concepts have not been investigated.
Goals. To systematically identify changes in brain regions through concepts learned by the deep neural network for model validation.
Approach. Using quantitative R2* maps we separated Alzheimer's patients (n=117) from normal controls (n=219) by using a convolutional neural network and systematically investigated the learned concepts using Concept Relevance Propagation and …

abstract accuracy alzheimer's arxiv brain classification concept concepts cs.ai cs.cv cs.lg deep learning deep neural network disease identify motivation mri network networks neural network neural networks show studies through type