Automation of immunohistochemical evaluation in breast cancer using image analysis

doi:10.5306/wjco.v2.i4.187

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Apr 10, 2011 (publication date) through Nov 25, 2024

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World Journal of Clinical Oncology

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2218-4333

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Oncol. Apr 10, 2011; 2(4): 187-194
Published online Apr 10, 2011. doi: 10.5306/wjco.v2.i4.187

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Figure 2 ROC curves for the automated evaluation of estrogen receptor, progesterone receptor and human epidermal growth factor receptor-2 expression images using TissueQuant. For all three expressions the sensitivity of 100% is maintained, the specificity for PR expression is best at, 86%, for ER the specificity is 82.3% and for HER-2/neu expression the specificity is least at, 64.3%. ER: Estrogen receptor; PR: Progesterone receptor; HER-2/neu: Human epidermal growth factor receptor-2.

Citation: Prasad K, Tiwari A, Ilanthodi S, Prabhu G, Pai M. Automation of immunohistochemical evaluation in breast cancer using image analysis. World J Clin Oncol 2011; 2(4): 187-194
URL: https://www.wjgnet.com/2218-4333/full/v2/i4/187.htm
DOI: https://dx.doi.org/10.5306/wjco.v2.i4.187