首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:Analysis of Different Brain Tumor Detection and Segmentation Techniques in MRI and other Medical Images
  • 本地全文:下载
  • 作者:Saumya Gupta ; Monika Agrawal ; Sanjay Kumar Sharma
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2016
  • 卷号:7
  • 期号:1
  • 页码:51-54
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Brain is that the anterior most a part of the central nervous system. Tumor is caused because of formation of additional cells in brain as a result of new cells build up whereas existences of older or broken cells for an unknown reason. Today’s recent medical imaging analysis faces the challenge of detective work tumor through magnetic resonance pictures (MRI). Broadly, to provide pictures of sentimental tissue of body, MRI pictures are used by specialists. For tumor detection, image segmentation is needed. Physical segmentation of medical image by the radiotherapist may be a monotonous and prolonged method. Imaging may be an extremely developed medical imaging methodology providing made info concerning the person soft-tissue structure. There are varied tumor recognition and section strategies to find and segment a tumor from imaging pictures. A range of algorithms were developed for segmentation of magnetic resonance imaging images by exploitation completely different tools and methods. Instead this paper presents a comprehensive review of the ways and techniques accustomed find tumor through imaging image.
  • 关键词:Brain Tumor;Magnetic Resonance Image (MRI);Segmentation; Clustering
国家哲学社会科学文献中心版权所有