Author

Shayan Rokhva

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Sep 2026

A multi-scale transformer U-Net with SECA attention for robust breast tumor segmentation across diverse imaging modalities

A novel Swin Transformer–based U-Net architecture whose primary contribution lies in a Swin-Enhanced Cross Attention (SECA)-driven decoding strategy, rather than the use of a Swin encoder alone, is proposed.

Reza Ahmadi Lashaki, Farhad Bayrami, Shayan Rokhva et al. · Multimedia tools and applica... · 0 citations