The Automatic Classification Research to Regional Medical Imaging Disease Based on Support Vector Machine

DOI

10.2991/icmii-15.2015.66How to use a DOI?

Keywords

support vector machine; disease classification; k-means algorithm

Abstract

This paper proposed an optimized support vector machine method to realize the automatic diseases classification of medical imaging results, which overcome the traditional Bayesian Classification problems. It improved the classification accuracy effectively, and was used to analyze the medical characteristics of the two hospitals in the same region.

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/).

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TY  - CONF
AU  - Bishi He
AU  - Hangjian Ni
AU  - Zhe Xu
PY  - 2015/10
DA  - 2015/10
TI  - The Automatic Classification Research to Regional Medical Imaging Disease Based on Support Vector Machine
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 362
EP  - 369
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.66
DO  - 10.2991/icmii-15.2015.66
ID  - He2015/10
ER  -