Lung X-Ray image classification method and system based on feature fusion and storage medium
A technology of feature fusion and classification methods, applied in image analysis, image data processing, neural learning methods, etc.
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Embodiment 1
[0090] The lung X-Ray image classification method based on feature fusion of the present invention, the method is specifically as follows:
[0091] S1. Collection of data sets: Collect lung X-ray images of normal people and patients with common pneumonia through publicly available data sets in references; obtain lung X-ray images of COVID-19 patients through open databases; the details are as follows:
[0092] S101. The first publicly available dataset from the reference, lung X-ray images were selected from pediatric patients aged 1 to 5 in Guangzhou Women and Children's Medical Center. It mainly includes ordinary people and patients with common pneumonia.
[0093] S102. The second dataset is a COVID-19 X-ray image database developed by Joseph et al. using images from various open access sources. The authors collected radiology-related images from various authentic sources (Radiology Society of North America (RSNA), Encyclopedia of Radiology, etc.). Most research on COVID-1...
Embodiment 2
[0174] The lung X-Ray image classification system based on feature fusion of the present invention, the system includes,
[0175] A collection module for collecting X-ray images of the lungs of normal people and patients with common pneumonia through publicly available datasets in references; obtaining X-ray images of the lungs of COVID-19 patients through open databases;
[0176] The preprocessing module is used to preprocess the acquired X-ray images of the lungs of normal people and patients with common pneumonia and the X-ray images of the lungs of patients with COVID-19;
[0177] The equalization module is used to equalize the obtained data set by using a weight function to perform data sample equalization;
[0178] The model building module is used to fuse the DenseNet network and the VGG network structure to build a fusion DN-VGG model by using the method of model connection and feature fusion, and to analyze the lung X-ray images of normal people and patients with comm...
Embodiment 3
[0180] The embodiment of the present invention also provides an electronic device, including: a memory and a processor;
[0181] Wherein, the memory stores computer-executable instructions;
[0182] The processor executes the computer-executed instructions stored in the memory, so that the processor executes the X-Ray lung image classification method based on feature fusion in any embodiment of the present invention.
[0183] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs) or other programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. The processor may be a microprocessor or the processor may be any conventional processor or the like.
[0184] The memory can be used to store computer programs and / or modules, and the processor implements various function...
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