Breast Cancer Detection

In poor countries, cancer death is one of the major puzzling and difficult situations for humankind. Even though there are many ways to turn away/avoid it from happening, some cancer types still do not have any treatment. The lack of strong and healthy outlook models results in difficulty for medicos to prepare a treatment plan that may cause continued patient survival time. Because of this, the necessary time is to develop the way of doing things which gives minimum error to (increase a tiny bit) (high) quality. Three sets of computer instructions SVM, CNN, and KNN which predict the breast cancer result have been compared in the project using different datasets. All experiments are executed within a test run (that appears or feels close to the real thing) (surrounding conditions) and done in JUPYTER (raised, flat supporting surface). The aim of the research separates and labels into three domains. The first domain is a prediction of cancer and the second domain is the prediction of (identification of a disease or problem, or its cause) and treatment, and the third domain focuses intensely on results during treatment. The proposed work can be used to (describe a possible future event) the result of different ways of doing things and good ways of doing things can be used depending upon needed things. This project is carried out to (describe a possible future event), detect and analyze the (quality of being very close to the truth or true number) of breast cancer. The future research can be carried out to (describe a possible future event) the other different limits/guidelines and breast cancer research can be separated and labeled on the basis of other limits/guidelines. From data received/obtained in this study it can be said that if a patient has a breast cancer tumor, detection of the tumor is possible.