Proceedings of the 2016 International Conference on Economics and Management Innovations

Research on The Use of Big data in Anorectal Branch

Authors
Mingliao Niu, Yuyan Liu, Huanhuan Zhen, Zuowu Xi
Corresponding Author
Mingliao Niu
Available Online July 2016.
DOI
https://doi.org/10.2991/icemi-16.2016.32How to use a DOI?
Keywords
Image thinning, algorithm, Medical Imaging, edge analysis
Abstract

The era of big data to the community more than just data becomes large, increased resources, more is to change the mindset and the consequent data mining technology continue to make breakthroughs, the rapid development of the ability to use the data. In this context, all the valuable data will soon be refined and used. This paper studies the big data in Hospital anorectal branch. Focused on the image segmentation and recognition as well as the establishment of a system of self-diagnosis and treatment advice on this basis. And comparative analysis of the system and physician clinical diagnostic results show that the system is rich in content, to show the diversity, adequate diagnostic index has further expanded its scope of application value

Copyright
© 2016, 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 2016 International Conference on Economics and Management Innovations
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-214-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icemi-16.2016.32How to use a DOI?
Copyright
© 2016, 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  - Mingliao Niu
AU  - Yuyan Liu
AU  - Huanhuan Zhen
AU  - Zuowu Xi
PY  - 2016/07
DA  - 2016/07
TI  - Research on The Use of Big data in Anorectal Branch
BT  - Proceedings of the 2016 International Conference on Economics and Management Innovations
PB  - Atlantis Press
SP  - 160
EP  - 165
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemi-16.2016.32
DO  - https://doi.org/10.2991/icemi-16.2016.32
ID  - Niu2016/07
ER  -