X-ray Image Classification Method and System for New Coronary Pneumonia Based on Lightweight Model

Abstract

The invention discloses a novel coronavirus pneumonia X-ray image classification method and system based on a lightweight model. The method constructs an image classification model including a multi-path multi-scale feature fusion module and a depth-separable convolution dense block, and multi-path multi-scale The receptive field obtained by multiple paths in the feature fusion module is different, which can effectively improve the feature utilization rate, enhance the representation ability of the model, and effectively prevent over-fitting; the depth-separable convolution dense block performs spatial and channel analysis on the features in the feature map The associated feature map is channel-spliced ​​with the input feature map to realize feature reuse, improve model representation ability, and effectively solve the model under-fitting problem caused by gradient disappearance. The image classification model provided by the present invention is a lightweight model, which can be applied to mobile devices or embedded devices with limited storage space and computing power, and can classify X-Ray images with high speed and high accuracy.

Description

technical field [0001] The invention relates to the technical field of medical X-Ray image classification, in particular to a novel coronavirus pneumonia X-ray image classification method and system based on a lightweight model. Background technique [0002] COVID-19 is a new type of coronavirus pneumonia, referred to as new coronary pneumonia. COVID-19 contains some radiological features that can be detected by chest X-ray (X-Ray), so the X-Ray images containing the radiological features of COVID-19 can be screened out by identifying the X-Ray images. However, there is no efficient and high-performance X-Ray image classification method suitable for mobile devices or embedded devices with limited storage space and computing power in the prior art, so that it can be used anytime and anywhere. Contents of the invention [0003] The present invention provides a novel coronavirus pneumonia X-ray image classification method and system based on a lightweight model, which is use...

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Problems solved by technology

[0003] The present invention provides a novel coronavirus pneumonia X-ray image classification method and system based on a lightweight model, which is used to overcome the inability in the prior art to be applicable to mobile devices or embedded devices with limited storage space and computing power while being highly efficient. , high performance and other defects

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