Convolutional neural network-based automatic heart segmentation and quantitation in <sup>123</sup>I-metaiodobenzylguanidine SPECT imaging.

EJNMMI Res · 2021 · PMC8511236 · PMID 34637028

Europe PMC DOI

hedged sentence

0.0520

closest p · 1.0× alpha

0.0520

boldest claim

The sentences

on the borderline of significancep = 0.052so close (0.05 < p ≤ 0.1)

The systematic error between SPECT WR CNN and planar WR BC was on the borderline of significance as shown in Bland–Altman plots ( p = 0.052).

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