nnU-Net with ResNet encoder, intensity normalization, batch dice loss, and CraveMix augmentation reaches Dice 0.80 and third place in AutoPET III.
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Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III
nnU-Net with ResNet encoder, intensity normalization, batch dice loss, and CraveMix augmentation reaches Dice 0.80 and third place in AutoPET III.