A set of 18 images of the human brain. The top row is titled target class, A D data, 198 A D participants. The bottom is titled classification task, p M C I versus s M C I. The set has axial, sagittal, and coronal images of the brain based on x, y, and z values.

Fig. 18

Distribution of discriminant regions obtained with gradient back-propagation in the classification of demented patients and cognitively normal participants (top part, AD vs CN) and the classification of stable and progressive mild cognitive impairment (bottom part, sMCI vs pMCI). (Adapted from [27] (CC BY 4.0))

From: Chapter 22, Interpretability of Machine Learning Methods Applied to Neuroimaging

Cover of Machine Learning for Brain Disorders
Machine Learning for Brain Disorders [Internet].
Colliot O, editor.
New York, NY: Humana; 2023.
Copyright 2023, The Author(s)

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