Pneumonia classification method and device, medium and electronic equipment

Abstract

The invention discloses a pneumonia classification method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: inputting an acquired pneumonia symptom and clinical information of a detected person into a first neural network model; and automatically identifying the type of pneumonia by the first neural network model. According to the invention, pathologic characteristics such as pneumonia symptoms and the like are considered, and clinical information of a detected person is combined; therefore, the pneumonia type can be recognized more accurately, the pneumonia type can be automatically distinguished, the accuracy of the pneumonia type can be guaranteed, more accurate and refined type information is provided for subsequent treatment, and it is guaranteed that the subsequent treatment is more targeted and more effective.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a method for classifying pneumonia based on CT images, a classifying device, a computer-readable storage medium and electronic equipment. Background technique [0002] Computed Tomography (CT for short) is a three-dimensional radiological medical image reconstructed after digital geometry processing. This technology mainly irradiates the human body through the rotation of X-rays on a single axis. Since different tissues have different absorption capabilities (or rejection rates) of X-rays, the three-dimensional technology of the computer can be used to reconstruct the tomographic image. By bit processing, the tomographic image of the corresponding tissue can be obtained, and the tomographic image can be stacked layer by layer to form a three-dimensional image. [0003] CT images can be used to know whether the person being tested is a pneumonia patient, especially in re...

AI Technical Summary

Problems solved by technology

At present, the specific method of knowing whether the subject has pneumonia through CT images is usually based on the signs of pneumonia in the CT images. It is difficult to accurately determine whether you have pneumonia. At the same time, it is difficult to distinguish between different types of pneumonia, such as bacterial pneumonia and viral pneumonia, as well as cold viral pneumonia and new coronavirus pneumonia. different persons, and because the CT images and symptoms of different subjects may be different, so their treatment methods may also be different, and they need to be classified. Therefore, there is an urgent need for a method that can automatically distinguish between Pneumonia category approach

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