Parthh Dikshit
Vivek Kumar Sehgal
ABSTRACT
Breast cancer is a topic that is frequently discussed these days. It is one of the most widespread diseases and forms of cancer. The National Cancer Institute says that the second most frequent malignancy in women is breast cancer. Every year, around 2000 new instances of breast cancer are diagnosed in males, while approximately 2,30,000 new cases are diagnosed in women. The diagnosis of this disease is crucial so that women can get it treated in its early stages. It is best for an precise and timely diagnosis. This is a critical phase in the therapy and recovery process. Breast cancer detection is done with the help of mammograms, which are basically X-rays of the breasts. It's a tool that is used to detect and help diagnose breast cancer. But detection is not easy due to different kinds of uncertainties in using these mammograms. Breast cancer can be detected using machine learning algorithms. These approaches can be used to create tools for clinicians that can be used to identify and diagnose breast cancer at an early stage. This will significantly improve patient survival rates.
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