New coronal pneumonia X-ray image classification method and system based on lightweight model

Abstract

The invention discloses a new coronal pneumonia X-ray image classification method and system based on a lightweight model. According to the method, an image classification model comprising a multi-path multi-scale feature fusion module and a depth separable convolution dense block is constructed, receptive fields obtained by multiple paths in the multi-path multi-scale feature fusion module are different, the feature utilization rate can be effectively improved, the representation capability of the model is enhanced, and over-fitting is effectively prevented; the depth separable convolution dense block performs space and channel association on the features in the feature map, and performs channel splicing on the associated feature map and the input feature map, thereby achieving feature reuse, improving the model characterization capability, and effectively solving the problem of model underfitting caused by gradient disappearance. The image classification model provided by the invention is a lightweight model, can be applied to mobile equipment or embedded equipment with limited storage space and computing power, and is high in X-Ray image classification speed and high in 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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