Abstract:It is essential to automatically evaluate the position and size of the liver tumour for radiologists, diagnosis, and the clinical process. Many U-Net-based variants have been suggested in recent years to enhance the segmentation results for medical image segmentation, but they are unable to describe the global spatial and channel relationships among lesion regions. To overcome this issues, we proposed a novel network called Multi-scale Attention UNet (MA-UNet) to address this problem by adding a self-attention… Show more
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