Application of Convolutional Neural Network in Accurate Breast Cancer Identification

Abstract

As one of the most common cancers in women, breast cancer has the highest incidence in the world. Nearly 600,000 people die from breast cancer each year, and early detection is essential for breast cancer treatment. In recent years, the rapid development of artificial intelligence has provided unprecedented ideas for the precise diagnosis and treatment of breast cancer. In this paper, the practical application of artificial intelligence convolutional neural network in breast cancer recognition is studied, which greatly improves the detection speed and saves a lot of time for doctors to further judge the condition.