A Gamma-Gaussian mixture model for detection of mitotic cells in breast cancer histopathology images

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 p...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the 21st International Conference on Pattern Recognition (ICPR2012) pp. 149 - 152
Main Authors Khan, A. M., El-Daly, H., Rajpoot, N. M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
Subjects
Breast cancer
Context
Image color analysis
Image segmentation
Sensitivity
Tumors
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9781467322164
1467322164
ISSN:1051-4651
2831-7475