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Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT
Kucerenko, Aleksej; Buddenkotte, Thomas; Apostolova, Ivayla; u. a. (2024): Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT, in: European Journal of Nuclear Medicine and Molecular Imaging, Heidelberg [u.a.]: Springer, Nr. Online First, doi: 10.1007/s00259-024-06988-0.
Faculty/Chair:
Author:
Title of the Journal:
European Journal of Nuclear Medicine and Molecular Imaging
ISSN:
1619-7089
Publisher Information:
Year of publication:
2024
Issue:
Online First
Language:
English
Type:
Article
Activation date:
January 29, 2025
Permalink
https://fis.uni-bamberg.de/handle/uniba/106141