A comparative analysis of Deep Learning Algorithms for Breast Cancer Detection

Some breast cells begin to develop irregularly, leading to breast cancer. These cells continue to grow and divide faster than healthy cells, forming large clumps. Surveys predict that there will be about 170,000 new cases of breast cancer diagnosed in India by 2020. Studies have shown that the disease is likely to affect one woman in her 28. Many machine learning algorithms are available for breast cancer detection. Here Logistic regression, a Decision Tree classifier and Random Forest classifier algorithms have been proposed and simulated. The model accuracy has been estimated to 97.23 to 91.22 % for mentioned algorithms.