Deep learning algorithm-based classification method of bacterial pneumonia and viral pneumonia in children

Abstract

The invention provides a deep learning algorithm-based classification method of bacterial pneumonia and viral pneumonia in children. According to the method, a source data set is manually labeled; onthe basis of the combination of a full convolutional network semantic segmentation algorithm and a convolutional neural network algorithm, the full convolutional network semantic segmentation algorithm is adopted to perform lung region foreground segmentation on an image so as to obtain a region of interest, the extracted region of interest is inputted to a convolutional neural network model so asto train a classifier, and therefore, the category of an unknown chest X-ray image can be predicted, and the high-dimensional features of the region of interest are extracted; and a traditional imageprocessing method is adopted to extract the low-dimensional features of the region of interest; and the high-dimensional features and the low-dimensional features are used to train a non-linear classifier; and the category of the unknown X-ray image is predicted, and the type of the pneumonia of a patient can be judged. Since a main component analysis algorithm is used to perform dimensionality reduction on the features, and therefore, the amount of calculation can be reduced; and the features which have been subjected to mixed dimensionality reduction are inputted into the nonlinear classifier, and the category of the unknown X-ray image can be predicted.

Description

technical field [0001] The present invention relates to the fields of computer vision technology and medical image processing, and more specifically, to a method for classifying bacterial and viral pneumonia in children based on deep learning algorithms. Background technique [0002] Pneumonia is a common and frequently-occurring disease in children, and it is also the leading cause of death in children. Pneumonia in children is mostly caused by bacteria and viruses, and a few are caused by mycoplasma and fungi. Pathogen diagnosis is an important basis for clinically correct antibiotic selection. Chest X-ray is one of the most common aids in the diagnosis of pneumonia. With the rapid development of the computer field and the success of deep learning algorithms, it has gradually set off an upsurge in the field of computer-aided diagnosis, and a large number of image processing algorithms and disease predictions based on X-ray images have emerged. Classification algorithm, th...

AI Technical Summary

Problems solved by technology

However, there are still serious noises in chest X-ray images, such as occlusion of human bones, interference of bronchi and blood vessels, human organs, etc., and images vary with individual differences

And there is currently no relevant technology that uses deep learning methods to judge whether children's pneumonia is infected by bacteria or viruses from images

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