Using cnn saliency maps and eeg modulation spectra for improved and more interpretable machine learning-based alzheimer’s disease diagnosis

HIGHLIGHTS

• who: from the Institute National de la Recherche Scientifque (INRS-EMT), University of Quebec, Montreal, Canada have published the paper: Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning-Based Alzheimeru2019s Disease Diagnosis, in the Journal: Computational Intelligence and Neuroscience of 15/09/2022
• what: The authors propose the use of deep neural networks in particular convolutional neural networks (CNNs) combined with saliency maps trained on power modulation spectrogram inputs to fnd optimal patches in a data-driven manner. The authors build on these patches and propose a data . . .
  

   

  

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