Article

Comparison of Explainable AI Models for MRI-based Alzheimer’s Disease Classification

2024-09-17

Abstract excerpt

Deep learning models based on convolutional neural networks (CNNs) have been used to classify Alzheimer’s disease or infer dementia severity from 3D T1-weighted brain MRI scans. Here, we examine the value of adding occlusion sensitivity analysis (OSA) and gradient-weighted class activation mapping (Grad-CAM) to these models to make the results more interpretable. Much research in this area focuses on specific data...

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Literature Corpus work: 36d982f2-a4a3-50c4-8a79-b2fc21cf15d8
DOI: 10.1101/2024.09.17.613560

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