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

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.