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Xiaoman Huang

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Conference Aug 2026

BE-Unet: a boundary-enhanced UNet for skin lesion segmentation

BE-Unet significantly outperforms state-of-the-art methods in segmentation accuracy and boundary delineation, with a parameters count limited to 38 KB and Giga-Operations Per Second (GFLOPs) limited to 0.1.

Xiaoman Huang, Zhenkun Lu · 0 citations

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