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ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
103 Brain Tissue Segmentation in MRI Images Using Random Forest Classifier and Gossip Based Neighborhood
By
Morteza Zahedi
,
Morteza Zahedi
Shahrood University of Technology
, ; zahedi@comp.tus.ac.ir
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Robab Anbiaee
Robab Anbiaee
Shahidbeheshti Medical Science University
, ; anbiaee@sbmu.ac.ir
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Page Count:
5
-
Published:2011
Citation
Eslami, S, Azmi, R, Zahedi, M, & Anbiaee, R. "Brain Tissue Segmentation in MRI Images Using Random Forest Classifier and Gossip Based Neighborhood." International Conference on Computer Technology and Development, 3rd (ICCTD 2011). Ed. Zhou, J. ASME Press, 2011.
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Considering the importance of careful segmentation of medical images for deleanition of unhelthy tissues or locating and tracing of the tumor growth, it has been the subject of interest in many medical researches. In this paper we propose a gossip-based region growing algorithm to extract more accurate spatial features. The features will then be imported to a random forest. The random forest classifier is an ensemble classifier derived from the decision tree idea but with accuracy rates comparable to most of currently used classifiers. Although being a very strong classifier, random forest has rarely been studied in the field of...
Abstract
Key Words
1 Introduction
2. Random Forest
3. Gossip Algorithm
4. Proposed Algorithm
5. Experimaental Results
6. Conclusion and Future Work
References
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