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

Crossref DOI link: https://doi.org/10.1007/s00259-021-05569-9

Published Online: 2021-10-15

Published Print: 2022-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nazari, Mahmood

Kluge, Andreas

Apostolova, Ivayla

Klutmann, Susanne

Kimiaei, Sharok

Schroeder, Michael

Buchert, Ralph https://orcid.org/0000-0002-0945-0724
Funding

Funding for this research was provided by:

H2020 Marie Skłodowska-Curie Actions (764458)

Universitätsklinikum Hamburg-Eppendorf (UKE)
License Information

Text and Data Mining valid from 2021-10-15

Version of Record valid from 2021-10-15
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Article History

Received: 19 May 2021

Accepted: 17 September 2021

First Online: 15 October 2021

Change Date: 24 February 2022

Change Type: Update

Change Details: The original version of this paper was updated to add the missing compact agreement Open Access funding note.

Declarations

:

: Waiver of informed consent for the retrospective analysis of the clinical data was obtained from the ethics review board of the general medical council of the state of Hamburg, Germany. All procedures performed in this study were in accordance with the ethical standards of the ethics review board of the general medical council of the state of Hamburg, Germany, and with the 1964 Helsinki declaration and its later amendments.

: All authors read and approved the final manuscript.

: MN, AK, and ShK are employees of ABX-CRO advanced pharmaceutical services. However, this did not influence the content of this manuscript, neither directly nor indirectly. The other authors declare that they have no competing interests.

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