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Medical image segmentation plays a crucial role in identifying the shape and structure of human anatomy. The most widely used image segmentation algorithms are edge-based and typically rely on the intensity homogeneity of the image at the edges, which often fail to provide accurate segmentation results due to the intensity inhomogeneity. This paper proposes(More)
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