I. Introduction
In the past diagnosis of pneumonia, the determination of images mostly relied on doctors with rich clinical practice experience, and this difference could not be guaranteed to be correct due to artificial experience. In recent years, computer-assisted imaging (CCAD) has been gradually applied in the imaging field [1], and has become an important basis for doctors to evaluate image quality [2]. Researchers have classified the images of pneumonia images and given the corresponding algorithms [3]. Researchers have used a 121-level convolutional neural network to perform experiments on 112,120 labeled lung X-ray images, and found that 11 of them achieved results comparable to or better than imaging diagnoses by radiographers [4].