Proceedings of the International Conference on Computer Information Systems and Industrial Applications

A Non-parametric Probabilistic Model for Hepatic Tumor Detection

Authors
Y. Konno, X.H Han, Y.W Chen, X. Wei
Corresponding Author
Y. Konno
Available Online June 2015.
DOI
10.2991/cisia-15.2015.158How to use a DOI?
Keywords
non-parametric; probability model; gaussian mixture model; tumor detection
Abstract

Automatic hepatic tumor enhancement and detection in CT volume data is an important preprocessing step in computer-aided diagnosis of liver tumor. In this paper, we proposed a novel non-parametric probabilistic model for automatic tumor detection. Compared with conventional method such as Gaussian mixture model, our proposed method is parameter-free method and can be applied to abnormal livers even with different type tumors. The proposed method is easy to implement and the computation cost is also low compared with other method.

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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Volume Title
Proceedings of the International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/cisia-15.2015.158
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.158How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Y. Konno
AU  - X.H Han
AU  - Y.W Chen
AU  - X. Wei
PY  - 2015/06
DA  - 2015/06
TI  - A Non-parametric Probabilistic Model for Hepatic Tumor Detection
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 581
EP  - 584
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.158
DO  - 10.2991/cisia-15.2015.158
ID  - Konno2015/06
ER  -