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Computer-Aided Diagnosis of Malign and Benign Brain Tumors on MR Images

机译:MR Images MR Images的Malign和良性脑肿瘤的计算机辅助诊断

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Determination of the most suitable type of treatment for brain cancer depends on the accurate detection of the type, location, size and borders of the tumor. Computer-aided diagnosis(CAD) systems help to physician in order to facilitate realizing of these aims. In this study, a CAD system was designed to detect brain tumors with computer assistance using T1 and T2 weighted MR images. The designed system segments brain tumor region of MR image using spatial-Fuzzy C-Means(FCM) method. Also, features of tumor region are extracted with image processing methods. Subsequently, support vector machine( SVM) is used for classification of benign and malign tumors in the CAD system. According to detailed test results, the proposed CAD system recognizes brain tumors with 91.49% accuracy, 90.79% sensitivity and 94.74% specificity.
机译:对脑癌最合适的治疗的测定取决于准确地检测肿瘤的类型,位置,大小和边界。计算机辅助诊断(CAD)系统有助于医生,以便于实现这些目标。在这项研究中,设计了一种CAD系统,用于使用T1和T2加权MR图像检测具有计算机辅助的脑肿瘤。使用空间模糊C型方式(FCM)方法MR图像的设计系统段脑肿瘤区域。而且,用图像处理方法提取肿瘤区域的特征。随后,支持向量机(SVM)用于CAD系统中的良性和恶性肿瘤的分类。根据详细的测试结果,拟议的CAD系统识别脑肿瘤,精度为91.49%,灵敏度90.79%和94.74%。

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