Breast Cancer Detection using Machine Learning Approach
Rohena Begum Mim, Afra Bente Islam, Sudipta Singha Roy, Abdus Sattar · 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) · 2022
We have gathered the features of breast cancer and normal persons’ cells both. To classify malignant and benign tumors, we used a supervised machine learning classifier algorithm. This paper shows the last update in this machine learning field on breast cancer in Bangladesh. We have used many classifiers of ML in this review. Most of cases it is difficult to identify the malignant tumors. For this, we hoped that with the help of math and the computational power of ML we can resolve this issue at a significant scale. Yet, there were a few difficulties with the process. Starting with featuring the dataset and creating a data frame we proceed to apply different types of machine learning classifiers. This paper presents an overview of the opinion examination challenges applicable to their methodologies and strategies.