A Novel Segmentation Method for MR Brain Images Based on Fuzzy Connectedness and FCM

2005 ◽  
pp. 505-513 ◽  
Author(s):  
Xian Fan ◽  
Jie Yang ◽  
Lishui Cheng
Keyword(s):  
Segmentation Method ◽  
Brain Images ◽  
Fuzzy Connectedness ◽  
Mr Brain Images ◽  
Mr Brain

A New Image Segmentation Method Based on Three-Dimensional Neural Network

2012 ◽  
Vol 490-495 ◽  
pp. 157-161
Author(s):  
Guo Fu Lin
Keyword(s):  
Image Segmentation ◽  
Classification Accuracy ◽  
Probabilistic Approach ◽  
Three Dimensional ◽  
Training Method ◽  
Segmentation Method ◽  
Brain Images ◽  
Feature Sets ◽  
Mr Brain Images ◽  
Mr Brain

In this paper, a three-dimensional probabilistic approach for MR brain image segmentation is proposed. Based on the noise-free representative reference vectors provided by SOM, the results of the 3D-PNN method are superior to other traditional algorithms. In addition to the 3D-PNN architecture, a fast three-step training method is proposed. The proposed approach also incorporates structure tensor to find appropriate feature sets for the 3D-PNN with respect to resulting classification accuracy. Computational results with simulated MR brain images have shown the promising performance of the proposed method.

Novel active contour model based on multi-variate local Gaussian distribution for local segmentation of MR brain images

2017 ◽  
Vol 24 (6) ◽  
pp. 653-659
Author(s):  
Qiang Zheng ◽  
Honglun Li ◽  
Baode Fan ◽  
Shuanhu Wu ◽  
Jindong Xu
Keyword(s):  
Gaussian Distribution ◽  
Active Contour ◽  
Active Contour Model ◽  
Brain Images ◽  
Model Based ◽  
Contour Model ◽  
Mr Brain Images ◽  
Mr Brain
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