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Snake-based liver lesion segmentation

机译:基于蛇的肝脏病变分割

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摘要

A novel and robust method for accurate segmentation of liver lesions is discussed. The initial contour for the snake is formed using edge and region information. The modified snake, guided by fuzzy edge information, deforms from this initial position, providing an accurate representation of the lesion boundary with few iterations and minimal user interaction. Results obtained from this algorithm are comparable to those obtained from manual segmentation by a trained radiologist.
机译:讨论了一种新的和健壮的方法,用于肝损伤的准确分割。蛇的初始轮廓是使用边缘和区域信息形成的。修改后的蛇在模糊边缘信息的引导下从此初始位置变形,从而以很少的迭代和最少的用户交互提供了病灶边界的准确表示。从该算法获得的结果与经过培训的放射科医生手动分割获得的结果相当。

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