Smart Breast Cancer Predictor

Abstract

Breast cancer in Uganda is the third commonest cancer in women, coming only next to cancer of the cervix and Kaposi's sarcoma. In this Project (SBCP), the Smart Breast Cancer Predictor Project members investigated how breast cancer is diagnosed in Uganda. The SBCP team members found out that the mammogram image is commonly used in diagnosis of breast cancer, the doctor spends more time (average of 18 minutes) to diagnose a single patient, and the number of breast cancer specialists is relatively small. Basing on the results of the study, we proposed to address the issues that we found out, by developing Smart Breast Cancer Predictor System to effectively predict breast cancer basing on mammogram images. SBCP takes a mammogram image as its input, analyses it to find out whether there is presence of Breast Cancer. It provides graphical analysis of the rate of spread of breast cancer, keep track of patients’ breast cancer prediction results, and notifies patients whose results are predicted to be positive about the next checkup. The SBCP will mainly operate in health centers that handle issues related to breast cancer.