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SwinCLNet: a robust framework for brain tumor segmentation via shifted window attention and cross-scale fusion

Seyong Jin1, Yeonwoo Noh2, Hyeonjoon Moon3

  • 1Artificial Intelligence, Sejong University, Seoul, 05006, South Korea.

Scientific Reports
|December 13, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
3D-U-NetBrain tumor segmentationCross-scale dual fusionLarge-kernel attentionMedical imagingShifted window self-attention

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