Breast Cancer Detection System Using AI/ML
Vinayak Saini, Nikunj Malik, Munish Sabharwal · 2023
The most prevalent and rapidly spreading disease in the world is breast cancer. Women are most frequently affected by breast cancer. Breast cancer can be controlled with early detection. Early detection and lower mortality allow for the treatment of many cases. On breast cancer, numerous research projects have been carried out. Machine learning is the approach that researchers employ the most. Machine learning was used in numerous earlier investigations. Decision trees, KNN, SVM, naive bays, and other machine learning algorithms offer improved performance in respective fields. However, a new and better method is now being used to diagnose breast cancer. Indepth learning is the innovative approach that was developed. Machine learning obstacles are surmounted using deep learning. Convolution neural networks, Recurrent neural networks, deep belief networks, etc. are a few examples of in-depth learning techniques used in data science. Machine learning comparisons produce the greatest results when using in-depth learning techniques. It highlights the images’ strongest qualities.