Abstract
The human epidermal growth factor receptor 2 (HER2) is a biomarker, recognized as a precious prognostic and predictive factor for breast cancer. Nowadays is extremely needed to introduce correct recognition of the HER2 positive breast cancer patients. This can be done by accurate segmentation of the cell membrane of cancer cells that are visualized as HER2 over-expressed on images acquired from corresponding histopathology preparations. To segment this structures automatically, we propose to use fuzzy control system based on Mamadani reasoning and to combined it with Otsu’s histogram shape-based image thresholding method. Under this proposal, we have tested different edge detectors.
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Tabakov, M., Zaręba, S. (2014). An Automatic Method for Cell Membrane Extraction in Histopathology HER2 Images. In: Korbicz, J., Kowal, M. (eds) Intelligent Systems in Technical and Medical Diagnostics. Advances in Intelligent Systems and Computing, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39881-0_20
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DOI: https://doi.org/10.1007/978-3-642-39881-0_20
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