Explainable AI to improve acceptance of convolutional neural networks for automatic classification of dopamine transporter SPECT in the diagnosis of clinically uncertain parkinsonian syndromes.

Purpose: Deep convolutional neural networks (CNN) provide high accuracy for automatic classification of dopamine transporter (DAT) SPECT images. However, CNN are inherently black-box in nature lacking any kind of explanation for their decisions. This limits their acceptance for clinical use. This st...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 49; no. 4; pp. 1176 - 1187
Main Authors:	Nazari, Mahmood, Kluge, Andreas, Apostolova, Ivayla, Klutmann, Susanne, Kimiaei, Sharok, Schroeder, Michael, Buchert, Ralph
Format:	Journal Article
Published:	Springer Nature Mar2022
Online Access:	View this record in EBSCOhost