Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

CT Prostate Segmentation Based on Continuously Updated Random Forests

Authors
Huangjian Deng, Xiubin Dai, Dandan Shi
Corresponding Author
Huangjian Deng
Available Online November 2015.
DOI
https://doi.org/10.2991/icmmita-15.2015.75How to use a DOI?
Keywords
Prostate Segmentation; Treatment Images; Continuously Updated Random Forests
Abstract

It is important to segment prostate automatically in the daily treatment images. However, previous methods often ignore the previous segmented treatment images which contain valuable patient-specific information. To this end, this paper proposes a novel CT prostate segmentation method based on a random forest model which is trained as a classifier to segment prostates. This model can be continuously updated by adding newly segmented prostate shapes into the training pool. In this way, more patient-specific information is incorporated into the training procedure. The experimental results show that the proposed method can improve the accuracy of prostate segmentation efficiently.

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 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-120-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-15.2015.75How 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  - Huangjian Deng
AU  - Xiubin Dai
AU  - Dandan Shi
PY  - 2015/11
DA  - 2015/11
TI  - CT Prostate Segmentation Based on Continuously Updated Random Forests
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 384
EP  - 389
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.75
DO  - https://doi.org/10.2991/icmmita-15.2015.75
ID  - Deng2015/11
ER  -