• 人工智能与模式识别 •

### 结合卷积神经网络和模糊系统的脑肿瘤分割

1. 天津大学 微电子学院，天津 300072
• 出版日期:2018-04-01 发布日期:2018-04-04

### Brain Tumor Image Segmentation Algorithm Based on Convolution Neural Network and Fuzzy Inference Syste

SHI Dongli, LI Qiang+, GUAN Xin

1. School of Microelectronics, Tianjin University, Tianjin 300072, China
• Online:2018-04-01 Published:2018-04-04

Abstract: In order to improve the accuracy and robustness of brain tumor image segmentation, this paper proposes an automatic segmentation algorithm of brain tumor MRI image based on convolution neural network and fuzzy inference system. Firstly, the convolution neural networks for the two types of single mode images of FLAIR and T2 are constructed. Then, the corresponding convolution neural network model is applied to each type of images to obtain the predicted probability which is processed by nonlinear mapping. Finally, the nonlinear mapped probability of the two kinds of images of FLAIR and T2 is used as the input of fuzzy inference system to determine whether the pixel belongs to the tumor area. Compared with existing brain tumor MRI image segmentation algorithm, the experimental results show that the proposed algorithm has an improvement in segmentation accuracy.