Diagnosis of Breast Cancer using Machine Learning Techniques -A Survey

Abstract

Breast cancer is a disease in which the cells of the breast develop unnaturally and uncontrollably, resulting in a mass called a tumor. If lumps in the breast are not addressed, they can spread to other regions of the body, including the bones, liver, and lungs. Men and women are both affected by breast cancer, albeit men are at a lower risk. This research investigates the detection of breast cancer by applying machine learning algorithms, deep learning algorithms, and hybrid machine learning approaches to a variety of datasets. These datasets include breast cancer databases from Wisconsin as well as mammography imaging datasets. The goal of this research is to find the best model for breast cancer diagnosis.

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