Efficacy of Spectral-Aided Visual Enhancer in Classification of Esophageal Cancer.

Cancers (Basel) · 2026 · PMC13204065 · PMID 42192971

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0.1200

closest p · 2.4× alpha

0.1200

boldest claim

The sentences

did not reach statistical significancep = 0.120not close (p > 0.1)

In the case of Random Forest with no hyperparameter tuning, the accuracy increased by 4.6% [95% CI: 4.1 to 5.2%] when using WLIs as opposed to 5.6% [95% CI: 5.1 to 6.1%] when using SAVE images, though this difference did not reach statistical significance in the aggregate count comparison [ p = 0.120].

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