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2009 22nd IEEE International Symposium on Computer-Based Medical Systems (2009)
Albuquerque, NM, USA
Aug. 2, 2009 to Aug. 5, 2009
ISBN: 978-1-4244-4879-1
pp: 1-7
Antonio Carlos Sobieranski , LAPIX ¿ Laboratory of Image Processing and Computer Graphics, UFSC ¿ Federal University of Santa Catarina
Sylvio Luiz Mantelli Neto , LAPIX ¿ Laboratory of Image Processing and Computer Graphics, UFSC ¿ Federal University of Santa Catarina
Leandro Coser , LAPIX ¿ Laboratory of Image Processing and Computer Graphics, UFSC ¿ Federal University of Santa Catarina
Eros Comunello , LAPIX ¿ Laboratory of Image Processing and Computer Graphics, UFSC ¿ Federal University of Santa Catarina
Aldo von Wangenheim , LAPIX ¿ Laboratory of Image Processing and Computer Graphics, UFSC ¿ Federal University of Santa Catarina
Eduardo Cargnin-Ferreira , BEG ¿ Laboratory of Histological Markers, Department of Biology, Embriology and Genetics ¿ UFSC ¿ Federal University of Santa Catarina
Gabriella Di Giunta , Pathology Service ¿ UFSC ¿ Federal University of Santa, Catarina
ABSTRACT
This paper presents a semiautomatic method for the identification of immunohistochemical (IHC) staining in digitized samples. The user trains the system by selecting on a sample image some typical positive stained regions that will be used as a reference for the construction of a distance metric. In this learning process, the global optimum is obtained by induction employing higher polynomial terms of the Mahalanobis distance, extracting nonlinear features of the IHC pattern distributions. The results of the proposed method showed a high correlation to a pathologist's manual analysis, which was used as a golden standard, presenting a more robust discrimination between stained and non-stained areas with little bias.
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CITATION

A. C. Sobieranski et al., "Learning a nonlinear color distance metric for the identification of skin immunohistochemical staining," 2009 22nd IEEE International Symposium on Computer-Based Medical Systems(CBMS), Albuquerque, NM, USA, 2009, pp. 1-7.
doi:10.1109/CBMS.2009.5255352
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