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Evaluation of Immunohistochemistry (IHC) Biomarkers in Breast Cancer Using Digital Image Processing

Prasanna G. Shete1,2 and Gajanan K. Kharate3
1. PVG’s College of Engineering and Technology, Electronics and Telecommunication Engineering dept., Pune 09, India
2. Sinhgad College of Engineering, Savitribai Phule Pune University, Pune India
3. Matoshri College of Engineering and Research, Nasik, India

Abstract—The paper discusses an approach involving digital image processing for estimating the extent of cancer in a breast tissue sample. The process aims at providing a reliable, repeatable, fast and cost effective method that could replace the traditional method of manual examination and subsequent estimation. The markers discussed in the paper are the Human Epidermal Growth Factor Receptor (HER2) and the Estrogen Receptor (ER) that give clear indications of the presence of cancer cells in the tissue sample. For ER evaluation, a modified watershed algorithm designed for eliminating errors arising due to over-segmentation in traditional watershed algorithm is proposed to provide comparatively more accurate results. Further, intensity based thresholding is performed for identifying and categorizing the cancerous cells into levels of severity of damage done to cells due to cancer. For HER2 evaluation, the ratio of extent of staining to the total size of image gives an estimate of the extent of cancer cell spread. The implementation of the algorithm is done on the MATLAB tool it is cost effective and user friendly as compared to the equipments available for the detection of breast cancer.

Index Terms—cancer cells, estrogen receptor, HSV model based object-background separation, human epidermal growth factor receptor, intensity based cancer cell counting

Cite: Prasanna G. Shete and Gajanan K. Kharate, "Evaluation of Immunohistochemistry (IHC) Biomarkers in Breast Cancer Using Digital Image Processing," Journal of Life Sciences and Technologies, vol. 3, no. 2, pp. 36-42, December 2015. doi: 10.18178/jolst.3.2.36-42

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