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A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images
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Khan, Adnan M., El-Daly, H. and Rajpoot, Nasir M. (Nasir Mahmood) (2012) A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images. In: 21st International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 11-15 November, 2012. Published in: Proceedings - International Conference on Pattern Recognition pp. 149-152. ISBN 9784990644109. ISSN 1051-4651.
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Abstract
In this paper, we propose a statistical approach for mitosis detection in breast cancer histological images. The proposed algorithm models the pixel intensities in mitotic and non-mitotic regions by a Gamma-Gaussian mixture model and employs a context-aware post-processing in order to reduce false positives. Experimental results demonstrate the ability of this simple, yet effective method to detect mitotic cells in standard H&E stained breast cancer histology images.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | Proceedings - International Conference on Pattern Recognition | ||||
Publisher: | IEEE | ||||
ISBN: | 9784990644109 | ||||
ISSN: | 1051-4651 | ||||
Official Date: | November 2012 | ||||
Dates: |
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Page Range: | pp. 149-152 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 21st International Conference on Pattern Recognition (ICPR) | ||||
Type of Event: | Conference | ||||
Location of Event: | Tsukuba, Japan | ||||
Date(s) of Event: | 11-15 November, 2012 |
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