基于活动轮廓模型的肺CT图像结节分割

Yihua Lan, Nan Xu, Xiaopu Ma, Xiao Jia
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引用次数: 2

摘要

在计算机辅助诊断系统中,肺结节的分割是一个具有挑战性的问题。目前,一种基于活动轮廓模型的图像分割方法已经在多个领域得到了广泛的应用。分析了肺结节分割的难点,重点介绍了一种活动轮廓模型和一种改进模型。然后对这些模型的优点和性能进行了比较和分析。最后总结了提高活动轮廓模型分割精度的几种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segmentation of Pulmonary Nodules in Lung CT Images based on Active Contour Model
Segmentation of pulmonary nodules in computer- aided diagnosis systems is a challenging problem. Currently, a method of image segmentation using an active contour model is already being widely applied in several fields. This paper analyzed the difficulty of segmentation of pulmonary nodules, focusing on an active contour model and an improved model. Then this paper compared and analyzed the advantages and performance of these models. At last some methods used to improve segmentation accuracy of active contour models were summarized.
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