Abstract
This paper discussed a framework for the detection of breast cancer cells by using various techniques. Dangerous cancer is mostly observed in women’s breast. The mortality rate can be decreased when breast cancer is detected at an early stage. By using different techniques, breast cancer cells can be detected. From the past decade, to detect and identify the stage of the cancer, computer-aided diagnosis (CAD) system has been initiated. This system consists of different steps like preprocessing, nuclei detection, segmentation, feature extraction, and classification to detect breast cancer cells. The approaches and methodologies in each step of the CAD system are applied to the images for cancer cell detection. Classification is done by using different classifiers. Features and classification results of different techniques for various images for detecting breast cancer cells are reviewed.
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Kandubothula, V., Uppada, R., Nandan, D. (2020). A Review on Detection of Breast Cancer Cells by Using Various Techniques. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_73
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DOI: https://doi.org/10.1007/978-981-15-4032-5_73
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