Abstract:Liver image segmentation is an attractive topic in the diagnosis and surgical planning of liver diseases. Although deep learning methods have significantly advanced liver segmentation, existing frameworks fail to clearly determine liver boundaries, especially in medical images where various organs have similar grey levels. In this paper, the authors design a multi-scale dense residual network (MDR-Net) for liver segmentation, which consists of two blocks: a liver segmentation network and an edge-aware network.… Show more
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