Sciweavers

Share
MICCAI
2007
Springer

A Clinically Motivated 2-Fold Framework for Quantifying and Classifying Immunohistochemically Stained Specimens

10 years 1 months ago
A Clinically Motivated 2-Fold Framework for Quantifying and Classifying Immunohistochemically Stained Specimens
Motivated by the current limitations of automated quantitative image analysis in discriminating among intracellular immunohistochemical (IHC) staining patterns, this paper presents a two-fold approach for IHC characterization that utilizes both the protein stain information and the surrounding tissue architecture. Through the use of a color unmixing algorithm, stained tissue sections are automatically decomposed into the IHC stain, which visualizes the target protein, and the counterstain which provides an objective indication of the underlying histologic architecture. Feature measures are subsequently extracted from both staining planes. In order to characterize the IHC expression pattern, this approach exploits the use of a non-traditional feature based on textons. Novel biologically motivated filter banks are introduced in order to derive texture signatures for different IHC staining patterns. Systematic experiments using this approach were used to classify breast cancer tissue micr...
Bonnie Hall, Wenjin Chen, Michael Reiss, David J.
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where MICCAI
Authors Bonnie Hall, Wenjin Chen, Michael Reiss, David J. Foran
Comments (0)
books