Image Recognition
Archived gastric images obtained during standard white-light examination from the endoscopic database were extracted. The CNN and scSE network, combined with different classification models for deep learning of gastric images. H. pylori status in the two gastric parts was classified into positive or negative categories using the artificial intelligence classification model. The image feature uses the connection between each neuron and the upper neuron to perform the final classification25. The performance of artificial intelligence diagnostic system for a single gastric image was assessed.