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Pneumonia image processing method and system and storage medium

A technology of image processing and pneumonia, applied in the field of image processing, can solve the problems of unfavorable neural network learning, small feature loss, etc., and achieve the effect that is beneficial to neural network learning

Pending Publication Date: 2021-07-20
XI'AN PETROLEUM UNIVERSITY
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  • Description
  • Claims
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Problems solved by technology

[0004] The embodiment of the present invention provides a pneumonia image processing method, system and storage medium to solve the problem in the prior art that the traditional preprocessing method causes the loss of small features and is not conducive to neural network learning

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  • Pneumonia image processing method and system and storage medium
  • Pneumonia image processing method and system and storage medium
  • Pneumonia image processing method and system and storage medium

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] In the prior art, domestic researchers have proposed different methods for the rapid identification of pneumonia X-ray images, most of which focus on convolutional neural networks. Before using the convolutional neural network for image learning, it is necessary to preprocess the image. The existing preprocessing methods are relatively simple, resulting in the loss of some details during the processing, resulting in a decline in the learning accuracy of ...

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Abstract

The invention discloses a pneumonia image processing method and system and a storage medium; the method comprises the steps: carrying out the filtering reconstruction and feature enhancement of a to-be-processed pneumonia image, and carrying out the fusion of the to-be-processed pneumonia image with an original pneumonia image, and maintaining the features of the original pneumonia image and the feature-enhanced image, thereby facilitating the subsequent neural network learning. Through verification of an InceptionV3 network, the pneumonia image is processed by adopting the method disclosed by the invention, and compared with an unprocessed pneumonia image and a pneumonia image which is processed only by using a Retinex algorithm, the obtained pneumonia image is improved in both accuracy and specificity.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a pneumonia image processing method, system and storage medium. Background technique [0002] In the case of the raging new crown pneumonia, domestic researchers in this field have proposed different methods for the rapid identification of pneumonia X-ray images. However, due to the long-term dependence on the features extracted by the convolutional neural network itself for deep learning training, many scholars have focused on the optimization of convolutional neural networks. The preprocessing of X-ray images still stays in simple denoising, enhancement and other operations. [0003] Although the X-ray images obtained by traditional denoising, filtering, histogram equalization and other methods have been enhanced in human vision, it is easier to judge the disease, but because the difference between the normal lung image and the diseased lung image is not obvio...

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Application Information

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IPC IPC(8): G06T5/50G06T5/00G06T11/00G06K9/62G06N3/04G06N3/08
CPCG06T5/50G06T11/003G06N3/04G06N3/08G06T2207/10116G06T2207/20192G06T2207/20208G06T2207/20221G06T2207/30061G06F18/253G06T5/70
Inventor 刘海龙马波
Owner XI'AN PETROLEUM UNIVERSITY
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