Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning-Based Alzheimer’s Disease Diagnosis

<div>Signal processing steps for the computation of the EEG power modulation spectrogram. (Image adapted from [<a href="/journals/cin/2023/3198066/#B29">29</a>]).</div>

Computational Intelligence and Neuroscience

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Figure 1: Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning-Based Alzheimer’s Disease Diagnosis 

Figure 1 | Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning-Based Alzheimer’s Disease Diagnosis 