This study aims to determine how socioeconomic status and various treatment modalities affect cancer patients. This study focuses on machine learning methods that researchers have suggested to utilize in the diagnosis of female breast cancer. One of the main obstacles facing women globally is breast cancer. In order to analyze the state of the art in computer-assisted breast cancer diagnoses, this paper covers the execution and outcomes of a systematic investigation. Additionally, a straightforward, novel and effective method was suggested. The suggested study investigates several screening methods for identifying breast cancer's intrinsic stage. Here, the usual Mammography imaging is employed to diagnose breast cancer. Organizations that use image-based classification make the assumption that all patient photos include the same tags as the patient, however, categorizing the data is expensive and is seldom found in the sample. CNN is a complex and scary sort of deep system that has attracted interest from the environment and production to achieve experimental success.