A Semi-automatic Image Analysis Tool for Biomarker Detection in Immunohistochemistry Analysis

Author

Jie Shu ; Guoping Qiu ; Mohammad, Isra´a

Author_Institution

Univ. of Nottingham, Nottingham, UK

fYear

2013

fDate

26-28 July 2013

Firstpage

937

Lastpage

942

Abstract

Digitized tissue slide analysis allows the Pathologists to use computer assisted image analysis technology to reduce time cost and increase the accuracy of diagnosis. In this paper, we present an ease to use semi-automatic tool which can detect and separate stains in tissue samples correctly. This statistical model based tool has been applied to detecting different kinds of stains. Multiple evaluation processes are implemented to demonstrate the robustness, accuracy and usefulness of this tool. Experimental results show that the tool performs significantly better than established popular methods such as color deconvolution and CMYK in stained color separation.

Keywords

biology computing; image colour analysis; molecular biophysics; object detection; biomarker detection; color deconvolution; computer assisted image analysis technology; diagnosis accuracy; digitized tissue slide analysis; immunohistochemistry analysis; pathologists; semi-automatic image analysis tool; stained color separation; stains detection; stains separation; Accuracy; Biological tissues; Deconvolution; Image color analysis; Immune system; Liver; Training; Biomarker; Color; DAB; Immunohistochemistry; Sirius Red;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Graphics (ICIG), 2013 Seventh International Conference on

Conference_Location

Qingdao

Type

conf

DOI

10.1109/ICIG.2013.197

Filename

6643806