An improved AntTree algorithm for MRI brain segmentation

In this paper, an improved method is proposed based on the AntTree algorithm to deal with MRI brain segmentation. This algorithm uses a new tree-structure model to accelerate the calculation of segmenting the brain structure into brain structure, while matter, grey matter, and cerebrospinal fluid. The experimental results indicated that this new approach has made full usage of the pixels information of MRI. Compared with K-means algorithm and FCM algorithm, the results show that the improved AntTree algorithm is characterized by faster, robustness and accurateness.

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