Segmentation Of Brain Tumors In Computed Tomography Images Using SVM Classifier

被引：0

作者：

Shanmugapriya, B. ^{[1
]}

Ramakrishnan, T. ^{[1
]}

机构：

[1] Natl Engn Coll, Dept Elect & Instrumentat, Kovilpatti, Tamil Nadu, India

来源：

2014 INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS (ICECS) | 2014年

关键词：

CT; Segmentation; SVM; RBF; Polynomial;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Medical image processing is an interdisciplinary field that has been attracted by various fields such as applied mathematics, computer science and engineering, biology and medicine etc. Due to the development of technologies in imaging modalities, more challenges arise, how to process and analyze a huge volume of images for the diagnosis of diseases and treatment procedure. In this Support Vector Machines (SVMs) has been used to segment the brain tumors in Computed Tomography (CT) images. The two Kernel function of the SVM has been compared in which the RBF-SVM outperforms the other one

引用

页数：3

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