首页> 外文期刊>International journal of imaging systems and technology >Performance analysis of brain tissues and tumor detection and grading system using ANFIS classifier
【24h】

Performance analysis of brain tissues and tumor detection and grading system using ANFIS classifier

机译:使用ANFIS分类器对脑组织和肿瘤检测分级系统进行性能分析

获取原文
获取原文并翻译 | 示例
       

摘要

Abnormal growth of cells in brain leads to the formation of tumors, which are categorized into benign and malignant. In this article, Co-Active Adaptive Neuro Fuzzy Inference System (CANFIS) classification based brain tumor detection and its grading system is proposed. It has two phases as brain tumor segmentation and brain tissue segmentation. In brain tumor segmentation, CANFIS classifier is used to classify the test brain image into benign or malignant. Then, morphological operations are applied over the malignant image in order to segment the tumor regions in brain image. The K-means classifier is used to classify the brain tissues into Grey Matter (GM), White Matter (WM) and Cerebro Spinal Fluid (CSF) regions as three different classes. Next, the segmented tumor is graded as mild, moderate or severe based on the presence of segmented tumor region in brain tissues.
机译:脑中细胞的异常生长会导致肿瘤的形成,肿瘤分为良性和恶性。在本文中,提出了基于主动自适应神经模糊推理系统(CANFIS)分类的脑肿瘤检测及其分级系统。它具有脑肿瘤分割和脑组织分割两个阶段。在脑肿瘤分割中,CANFIS分类器用于将测试脑图像分类为良性或恶性。然后,对恶性图像进行形态学操作,以分割脑图像中的肿瘤区域。 K均值分类器用于将脑组织分为三个不同类别,分别是灰色物质(GM),白色物质(WM)和脑脊髓液(CSF)。接下来,根据脑组织中存在肿瘤分割区域,将肿瘤分割为轻度,中度或重度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号