gradient vector flow model

基本解释

Objective To put forward an improved gradient vector flow (GVF) snake model based on the edge flow for segmentation of medical ultrasonic images of the lymph node.
目的提出一种基于边缘流的梯度矢量流（gradientvectorflow，GVF）形变模型的图像分割方法，并用于淋巴结超声图像的分割。
At the same time, how to get the approximate road hollow position is solved to realize the road contour extraction by gradient vector flow model with iterative solution.
通过梯度矢量流模型迭代求解，解决道路凹陷位置逼近问题，最终实现道路提取。
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In conclusion, our modified gradient vector flow model has not yet provided definitive evidence for or against the use of active contour models in 3D brain image segmentation.
最后，我们修改的梯度矢量流模型尚未提供确切的证据支持或反对在三维脑图像分割中使用主动轮廓模型。
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