A Short Survey on MRI Brain Detection

DOI

10.2991/cmfe-15.2015.151How to use a DOI?

Keywords

magnetic resonance imaging; classification;computer-aideddiagnosis

Abstract

Automated and accurate classification of MR brain images is of importance for the analysis. Recently researchers have proposed many different and innovative methods to improve upon this technology. This review focused on discussing the strength and limitations of earlier proposed classification techniques. Besides analyzing these literature, the paper also provides a critical evaluation of the surveyed literature which reveals new hotspots of research.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Si-Yuan Lu
AU  - Xing-Xing Zhou
AU  - Guang-Shuai Zhang
AU  - Ling Wei
PY  - 2015/07
DA  - 2015/07
TI  - A Short Survey on MRI Brain Detection
BT  - Proceedings of the International Conference on Chemical, Material and Food Engineering
PB  - Atlantis Press
SP  - 641
EP  - 644
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmfe-15.2015.151
DO  - 10.2991/cmfe-15.2015.151
ID  - Lu2015/07
ER  -