With the parallel structure like the human brain, neural networks can simulate the reaction of brain which is stimulated, and can be applied for MRI segmentation.
神经网络具有类似人脑的并行处理结构，能够模拟人脑对刺激的反应方式进行工作，可以用于解决磁共振图像分割问题。
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
目的介绍一种动态模糊聚类算法并利用该算法对磁共振图像进行分割研究。
Objective: To discuss the best fuzzy clustering number of MRI brain images segmentation.
前言：目的探讨颅脑mri图像模糊聚类分割算法中最佳模糊聚类数。
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