Abstract
In this paper, we propose a method to identify abnormal growth of cells in breast tissue and suggest further pathological test, if necessary. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal / lobular invasive carcinogenic cells also consider for comparison here in this paper. In fact, features of cancerous breast tissue (invasive) are extracted and analyses with normal breast tissue. We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some greater extent.
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Bhattacharyya, D., Robles, R.J., Kim, Th., Bandyopadhyay, S.K. (2010). Feature Extraction and Analysis of Breast Cancer Specimen. In: Chang, CC., Vasilakos, T., Das, P., Kim, Th., Kang, BH., Khurram Khan, M. (eds) Advanced Communication and Networking. ACN 2010. Communications in Computer and Information Science, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13405-0_4
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DOI: https://doi.org/10.1007/978-3-642-13405-0_4
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