Barely Significant
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Predictive performance of radiomic models based on features extracted from pretrained deep networks.

Insights Imaging · 2022 · PMC9733744 · PMID 36484873

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0.0230
closest p · 0.5× alpha
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highly significantp = 0.023actually significant
In the mixed model, the choice of architecture (AUC + 0.016; p < 0.001), the level of feature extraction (AUC + 0.016; p < 0.001), and using all slices (AUC + 0.023; p < 0.001) were highly significant; using the segmentation had a lower influence (AUC + 0.011; p = 0.023), while the aggregation method was insignificant ( p = 0.774).

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