关键词: 脑肿瘤, 图像分割, 卷积神经网络, 模糊推理系统

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.

Key words: brain tumor, image segmentation, convolution neural network, fuzzy inference system