Brain tumor semantic segmentation pipeline using a BEiT-based transformer model with attention-driven decoding and skip connections. Handled YOLO/image-based masks, applied advanced augmentations (Albumentations), and used a combined CrossEntropy-Dice loss with class weighting.
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Brain tumor semantic segmentation pipeline using a BEiT-based transformer model with attention-driven decoding and skip connections. Handled YOLO/image-based masks, applied advanced augmentations (Albumentations), and used a combined CrossEntropy-Dice loss with class weighting.
anurag965/Brain-Tumor-Segmentation
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Brain tumor semantic segmentation pipeline using a BEiT-based transformer model with attention-driven decoding and skip connections. Handled YOLO/image-based masks, applied advanced augmentations (Albumentations), and used a combined CrossEntropy-Dice loss with class weighting.
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