Crossmark

Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT

Crossref DOI link: https://doi.org/10.1007/s00259-024-06988-0

Published Online: 2024-11-27

Published Print: 2025-03

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

Authors

Kucerenko, Aleksej

Buddenkotte, Thomas

Apostolova, Ivayla

Klutmann, Susanne

Ledig, Christian

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

Funding for this research was provided by:

Universitätsklinikum Hamburg-Eppendorf (UKE)
License Information

Text and Data Mining valid from 2024-11-27

Version of Record valid from 2024-11-27
More Information

Article History

Received: 21 July 2024

Accepted: 11 November 2024

First Online: 27 November 2024

Declarations

:

: Waiver of informed consent for the retrospective analysis of the clinical samples (development dataset, MPH dataset) 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.

: The authors have no relevant financial or non-financial interests to disclose.

Document is current

Any future updates will be listed below