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X-ray lung disease automatic positioning method based on weak supervised learning

A pulmonary disease, automatic positioning technology, applied in neural learning methods, computer components, image data processing and other directions, can solve problems such as slow progress, and achieve the effect of assisting decision-making, enhancing learning ability, and enhancing positioning function

Pending Publication Date: 2020-12-22
MEI HOSPITAL UNIV OF CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this work has progressed slowly due to the time and effort required by professionals to label medical images at the pixel level

Method used

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  • X-ray lung disease automatic positioning method based on weak supervised learning
  • X-ray lung disease automatic positioning method based on weak supervised learning
  • X-ray lung disease automatic positioning method based on weak supervised learning

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Embodiment Construction

[0020] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0021] An automatic location method for X-ray lung diseases based on weakly supervised learning. Through image analysis of lung X-ray films, it is judged whether there is a lung disease and the location of the lesion is marked. As a computer-aided system, this invention can reduce the judgment time of doctors, assist doctors in decision-making, and improve work efficiency. Such as figure 1 As shown, the lung disease detection and positioning system proposed by the present invention mainly includes the following six steps.

[0022] Step 1: Collect 5,000 lung X-ray films, and carry out disease labeling on these films according to the electronic medical records. Specifically include: mark each X-ray film of the lungs, and mark whether the film is sick; if sick, write down the type of lung disease. Finally, the 5,000 X-ray films were sorted out...

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PUM

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Abstract

The invention provides an X-ray lung disease automatic positioning method based on weak supervised learning. The method comprises the following steps: collecting a plurality of lung X-ray films for initial marking, and arranging the lung X-ray films into a training set; preprocessing the training set; constructing a deep learning neural network based on the class activation graph and provided witha self-supervision attention module, performing multi-angle rotation on the processed lung X-ray film, and inputting the lung X-ray film into the deep learning neural network; judging the input lungX-ray film through a loss function set in the deep learning neural network; in the training process, optimizing the loss function after the judgment result is compared with an initial mark to obtain an optimized deep learning neural network; and inputting a new lung X-ray film into the optimized deep learning neural network, and positioning a focus displayed in the newly input lung X-ray film; andthe method has the characteristics of efficiently and accurately positioning the focus, reducing the judgment time of doctors, assisting the doctors to make decisions and improving the working efficiency.

Description

technical field [0001] The invention specifically relates to a method for automatically locating X-ray lung diseases based on weakly supervised learning. Background technique [0002] The respiratory system consists of the airways (nose, pharynx, larynx, trachea and bronchi at all levels) and alveoli. The lungs are the main organs of the respiratory system, which inhale new air into the lungs and expel carbon dioxide after metabolism. Pulmonary disease is a respiratory system disease, which is a disease of the lung itself or a pulmonary manifestation of a systemic disease. This gas exchange is called respiration. Lung X-ray, as an essential item for lung disease examination, plays an important role in the screening and diagnosis of various lung diseases. As a complete diagnostic process, the identification and judgment of lung diseases is only one step. Another important task is to locate the location of the lesion on the original X-ray film. With the continuous develop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/20G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/30061G06V10/22G06N3/045
Inventor 李劲鹏王杰蔡挺
Owner MEI HOSPITAL UNIV OF CHINESE ACAD OF SCI
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