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IHCREAD: AN AUTOMATIC IMMUNOHISTOCHEMISTRY IMAGE ANALYSIS TOOL

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Biomedical Engineering

Abstract

Cancer is defined as uncontrolled or abnormal cell division. Untreated cancer is generally lethal. Liver cancer is the fifth most common cancer in the world [1] and is much more prevalent in the developing countries, especially Southeast Asia. Chronic infection with hepatitis B virus or hepatitis C virus is a very important liver cancer risk factor in this area. The majority of primary liver cancers arises from liver cells and is called hepatocellular carcinoma (HCC). Treatment of liver cancer patients was limited because the traditional diagnosis is not sensitive enough to detect the early symptoms [2]. Some novel technologies were used to increase the sensitivity and accuracy of cancer detection, typing and treatment.

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Acknowledgments

This work was supported in part from the National Science Council, Taiwan (Project No. 95-2745-E-468-001-URD, Project No. 95-2745-E-468-003-URD, and Project No. NSC 99-2221-E-024-010].

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Correspondence to Rong-Ming Chen .

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Hsu, CY., Hu, RM., Chen, RM., Ou, JW., Tsai, J.J. (2011). IHCREAD: AN AUTOMATIC IMMUNOHISTOCHEMISTRY IMAGE ANALYSIS TOOL. In: Suh, S., Gurupur, V., Tanik, M. (eds) Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0116-2_10

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  • DOI: https://doi.org/10.1007/978-1-4614-0116-2_10

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  • Publisher Name: Springer, New York, NY

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