Disclosed are deep-learning-based intelligent pneumonia diagnosis system and method for X-Ray chest radiograph, belonging to the technical field of medical image classification. The system comprises a user login and registration module, a picture format conversion module and a pneumonia prediction module; and by means of a B/S architecture, the system is divided into four layers, i.e. a platform layer, a support layer, a service layer and an application layer. An installation process performed by a user is simple, and dependence on a local environment is reduced. By means of a friendly interface and system modules which are designed according to actual requirements, the present system is enabled to be functionally fused with other systems. In the deep-learning-based intelligent pneumonia diagnosis method for X-Ray chest radiograph, means such as data enhancement, transfer learning and network structure improvement accelerate the convergence rate of model training, and improve the accuracy rate of pneumonia recognition and the generalization capability of a model. Confusion caused to doctors by manual radiograph viewing can be greatly reduced.
DEEP-LEARNING-BASED INTELLIGENT PNEUMONIA DIAGNOSIS SYSTEM AND METHOD FOR X-RAY CHEST RADIOGRAPH