The image segmentation method based on level set active contour model is widely concerned by domestic and foreign scholars for its superior performance, flexible structure, and diverse forms.
基于水平集活动轮廓模型的图像分割方法凭借其优越的性能、灵活的结构、多样的形式被国内外学者广泛关注。
Five major skills are discussed in details: reading comprehension, segmentation, memory, flexible coordination and smooth delivery.
文章主要分析了其中五项技巧：阅读理解、断句、记忆、协调能力以及表达。
With this model, for a new case, an adaptive segmentation and fitting scheme is used to obtain its 3D flexible shape which is interpreted as the deformable surfaces of the patient heart.
在此基础上，针对具体病人进行图像分割和形状拟合以计算其心脏静态和动态形状参数，然后分析得到与心脏功能相关的一些重要参数。
With this model, for a new case, an adaptive segmentation and fitting scheme is used to obtain its 3D flexible shape which is interpreted as the deformable surfaces of the patient heart.
在此基础上，针对具体病人进行图像分割和形状拟合以计算其心脏静态和动态形状参数，然后分析得到与心脏功能相关的一些重要参数。
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