Machine Learning Methods for Intelligent Abnormal Brain Identification

DOI

10.2991/ammsa-17.2017.94How to use a DOI?

Keywords

pathological brain detection; machine learning; intelligent algorithm; category recognition

Abstract

This survey paper describes a focused literature survey of machine learning methods in order to detect pathological brain. Based on the published time and emerging methods, this paper introduces in details the methods used in each documents. Because of the requirement to select a good approach in the process of pathological brain analysis, we compare the classification results of different methods and present a promising 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/).

Download article (PDF)

TY  - CONF
AU  - Fangyuan Liu
AU  - Siyuan Lu
AU  - Leonid Snetkov
PY  - 2017/05
DA  - 2017/05
TI  - Machine Learning Methods for Intelligent Abnormal Brain Identification
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 420
EP  - 422
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.94
DO  - 10.2991/ammsa-17.2017.94
ID  - Liu2017/05
ER  -