The communication of artificial intelligence and deep learning in computer tomography image recognition of epidemic pulmonary infectious diseases.

ABSTRACT: The objectives are to improve the diagnostic efficiency and accuracy of epidemic pulmonary infectious diseases and to study the application of artificial intelligence (AI) in pulmonary infectious disease diagnosis and public health management. The computer tomography (CT) images of 200 patients with pulmonary infectious disease are collected and input into the AI-assisted diagnosis software based on the deep learning (DL) model, "UAI, pulmonary infectious disease intelligent auxiliary analysis system", for lesion detection. By analyzing the principles of convolutional neural networks (CNN) in deep learning (DL), the study selects the AlexNet model for the recognition and classification of pulmonary infection CT images. The software automatically detects the pneumonia lesions, marks them in

SUBMITTER: Wang W 

PROVIDER: S-EPMC10846714 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature