Ses: a Swin-Unet Edge-aware Segmentation network for uterine fibroid ultrasound images.

Biomed Eng Online · 2026 · PMC13289386 · PMID 42083029

Europe PMC DOI

hedged sentence

0.0100

closest p · 0.2× alpha

0.0100

boldest claim

The sentences

highly significantp < 0.01actually significant

As shown in Table 2 , the differences between SES and U-Net, U-Net++ are highly significant (all p < 0.01), and the differences between SES and Attention U-Net, TransUNet are significant ( p < 0.05).

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