首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Overview on segmentation and classification for the Alzheimer’s disease detection from brain MRI
  • 本地全文:下载
  • 作者:Kajal Kiran Gulhare ; S. P. Shukla ; L. K. Sharma
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2017
  • 卷号:43
  • 期号:2
  • 页码:130-132
  • DOI:10.14445/22312803/IJCTT-V43P119
  • 出版社:Seventh Sense Research Group
  • 摘要:The several studies projected that approximately 115 million people will be affected from Alzheimer disease (AD) worldwide by the year 2050. Early detection of AD is important so that preventative measures can be taken place. The human brain Magnetic resonance imaging (MRI) data have been used to detection of AD. Due to the variation and complexity of brain tissue the MRI data analysis for detection AD is considered as difficult process. The objective of this study is to explore the recent published segmentation and classification techniques and discuss the usability in AD detection of the human brain MRI data.
  • 关键词:Alzheimer disease; MRI Data; Medical Image; Segmentation; Classification
国家哲学社会科学文献中心版权所有