Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

A short contemporary survey on pathological brain detection

Authors
Mengmeng Yang, Yongyan Jiang
Corresponding Author
Mengmeng Yang
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.81How to use a DOI?
Keywords
magnetic resonance imaging (MRI); pathological brain detection; classification
Abstract

Brain disease detection still is the hotspot and difficulty in the present society. Nevertheless, the emergence of magnetic resonance imaging (MRI) technology can be more convenient for the diagnosis of brain diseases. In this paper, we introduce several methods to detect pathological brain automatically, and analyze their advantages and disadvantages as well as to the direction of the future.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.81
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.81How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Mengmeng Yang
AU  - Yongyan Jiang
PY  - 2017/04
DA  - 2017/04
TI  - A short contemporary survey on pathological brain detection
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 379
EP  - 383
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.81
DO  - 10.2991/icmmct-17.2017.81
ID  - Yang2017/04
ER  -