Breast Cancer Detection using Machine Learning

Breast Cancer Detection using Machine Learning

Abdul Kareem1*, Achal Gupta2, Aviraj chaudhary3, Ajay Gupt4, Alok Kumar Srivastava5

1,2,3,4B.Tech 4th year students, Department of Computer Science and Engineering, Buddha Institute of Technology, Gorakhpur, UP, India

5Asst. Prof., Department of Computer Science and Engineering, Buddha Institute of Technology, Gorakhpur, UP, India

*Contact: meabdul2109@gmail.com

Abstract

The project of detecting breast cancer seeks to leverage machine learning in order to make us better at detecting breast cancer early and with accuracy. The project will design intelligent models from analyzing various images of mammograms and patient histories. Its core objectives include heightened accuracy of diagnosis, fewer errors that bring unwarranted anxiety or lead to missed diagnoses. It also aims to accelerate the screening process and simplify it for physicians, enabling them to take decisions regarding patient care in a faster manner. The project also aims to enable patients to get timely treatment, which will significantly enhance their prospects of recovery. By making risk assessments individualized based on specific patient data, the project aims to make more customized screening plans available. Overall, this project wishes to make the detection of breast cancer easier and more accurate, ultimately leading to healthier results for patients.

Key word: Mammogram Images , risk assessments , Machine Learning Concepts ,etc.