Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT.
Saved in:
| Title: | Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT. |
|---|---|
| Authors: | Kucerenko, Aleksej1 (AUTHOR), Buddenkotte, Thomas2 (AUTHOR), Apostolova, Ivayla2 (AUTHOR), Klutmann, Susanne2 (AUTHOR), Ledig, Christian1 (AUTHOR), Buchert, Ralph2 (AUTHOR) r.buchert@uke.de |
| Source: | European Journal of Nuclear Medicine & Molecular Imaging. Mar2025, Vol. 52 Issue 4, p1535-1548. 14p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 16197070 |
|---|---|
| DOI: | 10.1007/s00259-024-06988-0 |