Comparison of Detection Methods based on Computer Vision and Machine Learning

DOI

10.2991/mecae-17.2017.73How to use a DOI?

Keywords

Pathological image detection; Automatic diagnosis system; Feature extraction.

Abstract

Invisible diseases inside human's body even will lead the end of life. Hence, scientists put forward many computer-aided methods to detect the abnormalities in the body, which are proved to be beneficial for both doctors and patients. Nevertheless, how to select an accurate and convenient approach is a disturbing problem. In this paper, we will introduce some effective methods of image classification, and focus on the strength and weakness of them. Finally, we will present our future work on pathological image detection.

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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TY  - CONF
AU  - Wenjuan Jia
AU  - Yongyan Jiang
PY  - 2017/03
DA  - 2017/03
TI  - Comparison of Detection Methods based on Computer Vision and Machine Learning
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 386
EP  - 390
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.73
DO  - 10.2991/mecae-17.2017.73
ID  - Jia2017/03
ER  -