Breast Cancer Stem Cell Detection Using K-Means Adaptive Multi Thresholding

Sabina Khan, Nidhi Kumari


Image analysis of cancer cells is important for breast cancer diagnosis and therapy, because it is recognized as most effective and efficient way to observe its generation. In this paper, we are going to present a noble method to detect breast cancer stem cell for an image, as the growth in automatic detection of breast cancer using image processing grows it attract many researchers to research and optimized the detection for breast cancer using various algorithms. We are going to use multi thresholding concept to detect breast cancer stem in biomedical images and to implement the concept of over segmentation so that no cell left behind using K-Means.

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