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

Eur J Nucl Med Mol Imaging · 2025 · PMC11839851 · PMID 39592475

Europe PMC DOI

hedged sentences

0.0010

closest p · 0.0× alpha

0.0620

boldest claim

The sentences

highly significantp < 0.001actually significant

Repeated measures ANOVA revealed a highly significant reader-consistency * training method interaction effect ( p < 0.001).

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did not reach statistical significancep = 0.062so close (0.05 < p ≤ 0.1)

The difference between RVT and AVT regarding the separation of cases with discrepant versus consistent visual interpretation did not reach statistical significance ( p = 0.062).

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