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PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
The application of deep learning to medical image segmentation has been hampered due to the lack of abundant pixel-level annotated data.
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation
In this paper, we develop a cross-modal self-attention distillation network by fully exploiting the encoded information of the intermediate layers from different modalities, and the extracted attention maps of different modalities enable the model to transfer the significant spatial information with more details.
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