DSRA-UNet-STB: A DUAL-SCALE RESIDUAL ATTENTION U-NET WITH SWIN TRANSFORMER BLOCK FOR BRAIN TUMOR SEGMENTATION
Accurate segmentation of brain tumor from Magnetic Resonance Imaging (MRI) is critical for diagnosis, treatment planning, and surgical intervention. This study proposes a novel deep learning architecture, Dual-Scale Residual Attention U-Net with Swin Transformer Blocks (DSRA-UNet-STB), enhanced with...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
XLESCIENCE
2025-06-01
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| Series: | International Journal of Advances in Signal and Image Sciences |
| Subjects: | |
| Online Access: | https://xlescience.org/index.php/IJASIS/article/view/285 |
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