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)
Divisions:	Faculty of 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:	Date Event November 2012 Published
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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