An intelligent gastric cancer screening method based on convolutional neural network and support vector machine

The continuous development of modern information technologies such as Internet and cloud computing leads to unprecedented explosive growth of global data volume. The rapid convergence of massive multi-source heterogeneous data provides a driving force for the continuous development of artificial intelligence. The application of big data and artificial intelligence in the medical health field can not only greatly improve efficiency of medical health management services but also effectively promote the renewal and development of medical knowledge and technology. However, intelligent screening of gastric cancer is less concerned in this study. In view of this, this paper proposes an intelligent gastric cancer screening method based on convolutional neural network and support vector machine, and makes empirical analysis of gastroscopy data from the First Affiliated Hospital of Anhui Medical University, further conforming good diagnosis accuracy of this method.