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Zhongbin Dai

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Open access Aug 2026

TSF U-Net: A Texture-Span and Frequency-Gated U-Net for Brain Tumor MRI Segmentation

Findings indicate that jointly modeling pathological texture variations in the spatial domain and semantically selecting skip features in the frequency domain provides an effective strategy for improving boundary sensitivity, noise resistance, and cross-dataset robustness in brain tumor MRI segmentation.

Xia Wang, Long-De Mao, Jia-Ning Tang et al. · 0 citations

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