中文说明：脑肿瘤磁共振成像通过自动化的系统 （检测） 基本上被称为计算机辅助诊断（CAD） 系统。CAD 系统能提供高度精确重建原始图像的即有价值的前景，早些时候的脑肿瘤检测的准确性。它是由两个或多个阶段。在初始阶段之后，需要前处理已阶段即后处理分割是必需的。然后检测策略和其他的信息特征提取、 特征选择、 分类和性能分析进行了比较和研究。前处理技术已经习惯了的改进图像质量和 MRI 中移除小型文物和噪声的不需要的区域的精确检测。后置处理用来分割不同的策略与脑肿瘤的 MRI 脑图像从。在这次审查，这里集中于肿瘤的 MRI 图像、 品位的肿瘤和一些一般信息的外观这将有助于检测、 分割和脑肿瘤的 MRI 图像的解释。自动化的脑肿瘤检测过程遵循一些步骤所示如下图
English Description：
Automated system (detection) of brain tumor through MRI is basically called Computer-Aided Diagnosis(CAD) system. The CAD system can provide highly accurate reconstruction of the original image i.e. the valuable outlook andaccuracy of earlier brain tumor detection. It consists of two or more stage. In the initial stage pre-processing has required after thatstages post-processing i.e. segmentation are required. Then detection strategies and other information, feature extraction, featureselection, classification, and performance analysis are compared and studied. Pre-processing techniques are used to improvement ofimage quality and remove small artefacts and noise for the accurate detection of the undesired regions in MRI. Post-processing isused to segment with different strategy the brain tumor from the MRI of brain images.In this review, here focus on the appearance of tumors in MRI images, the grade of tumors and some general information