Lung ultrasound image analysis method, device, electronic equipment and readable storage medium

Abstract

An embodiment of the present invention provides a lung ultrasound image analysis method, device, electronic equipment, and readable storage medium. The method acquires a lung ultrasound image, then marks the lung ultrasound image based on the lung ultrasound signs, and then marks the marked Input the lung ultrasound image into the pre-trained dense convolutional network model, use the dense convolutional network model to analyze the lung ultrasound image, and obtain an analysis result representing the degree of lung injury corresponding to the lung ultrasound image, The acquired lung ultrasound images are analyzed through the pre-trained dense convolutional network model, and the automatically obtained analysis results can reflect the degree of lung injury corresponding to the acquired lung ultrasound images, thus, the lung health can be characterized according to the analysis results The purpose of this method is to alleviate the technical problem in the prior art that the ultrasonic images cannot be analyzed and processed, so that the health status of the patient can be studied based on the analysis results.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a lung ultrasound image analysis method, device, electronic equipment and readable storage medium. Background technique [0002] The application of ultrasound technology skills in clinical departments has increasingly become a basic skill that clinicians care about. In many clinical departments, especially in perioperative and critical care related departments, ultrasound examination has gradually become a routine skill for clinicians. Lung ultrasonography is the core of ultrasonography in emergency and critical care. Unlike other traditional ultrasonography, lung ultrasonography does not reflect direct images of lung tissue in most cases, but a series of artifacts. These artifacts are defined by the display characteristics of lung ultrasound images. [0003] But ultrasonography also has its downsides. The results of ultrasonography are largely influenced by the skill of...

AI Technical Summary

Problems solved by technology

To complete the examination of a target organ, the operator needs to perform multiple scans from different parts and angles, which greatly affects the results of ultrasound examination

[0004] For the above problems, no effective solution has been proposed

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