首页    期刊浏览 2025年08月18日 星期一
登录注册

文章基本信息

  • 标题:Survey on Algorithms for Brain Tumor Detection
  • 本地全文:下载
  • 作者:Priyanka Shah ; Manila Jeshnani ; Sagar Kukreja
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2017
  • 卷号:8
  • 期号:1
  • 页码:56-58
  • 出版社:TechScience Publications
  • 摘要:A tumor is said to be the growth in theabnormal tissue of the brain which causes damage to thefunctioning cells. Brain tumor detection is very difficult asthere are many techniques available for it. MagneticResonance Imaging (MRI) is the active resource for detectingbrain tumor. It is necessary to use technique which can givethe accurate location and size of the tumor. There are variousalgorithms proposed for brain tumor detection, this paperpresents a survey on the various brain tumor detectionalgorithms. It gives the existing techniques and what are theadvantages and disadvantages of these techniques
  • 关键词:Brain tumor; MR Imaging;(MRI);segmentation;K-means
国家哲学社会科学文献中心版权所有