CBMNet: a dual-attention enhanced ConvNeXt model for accurate G.V. Black type I-III classification in intraoral periapical radiographs.

Sci Rep · 2025 · PMC12603191 · PMID 41214050

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hedged sentence

0.0570

closest p · 1.1× alpha

0.0570

boldest claim

The sentences

did not reach statistical significancep = 0.057so close (0.05 < p ≤ 0.1)

While CBMNet also exceeded the CBAM-only model (89.4%, 95% CI: 85.8–92.2%) in accuracy, the improvement did not reach statistical significance ( p = 0.057).

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