An Automated Method of Segmentation for Tumor Detection by Neutrosophic Sets and Morphological Operations Using MR Images

被引：0

作者：

Kaur, Gursangeet ^{[1
]}

Kaur, Hardeep ^{[1
]}

机构：

[1] Coll Engn & Tech, GZS Campus, Bathinda, India

来源：

2016 CONFERENCE ON EMERGING DEVICES AND SMART SYSTEMS (ICEDSS) | 2016年

关键词：

Brain tumor; segmentation; neutrosophic; filters; watershed algorithm;

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：

Brain tumor is the most life undermining sickness and its recognition is the most challenging task for radio logistics by manual detection due to varieties in size, shape and location and sort of tumor. So, detection ought to be quick and precise and can be obtained by automated segmentation methods on MR images. In this paper, neutrosophic sets based segmentation is performed to detect the tumor. MRI is an intense apparatus over CT to analyze the interior segments of the body and the tumor. Tumor is detected and true, false and indeterminacy values of tumor are determined by this technique and the proposed method produce the beholden results.

引用

页码：155 / 160

页数：6

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