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Depth learning-based abnormal chest radiograph intelligent identification method and system

An intelligent recognition and deep learning technology, applied in the field of image recognition, can solve problems such as time-consuming, dependence on personal experience and working time, and low efficiency

Inactive Publication Date: 2018-02-23
江西中科九峰智慧医疗科技有限公司
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Problems solved by technology

This is not only costly, inefficient, and time-consuming; but also when manually identifying and reading images, it greatly depends on the doctor's personal experience and working hours, and there is a phenomenon of missed diagnosis

Method used

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  • Depth learning-based abnormal chest radiograph intelligent identification method and system
  • Depth learning-based abnormal chest radiograph intelligent identification method and system
  • Depth learning-based abnormal chest radiograph intelligent identification method and system

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Embodiment Construction

[0025] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

[0026] Aiming at the identification of abnormal features in chest radiographs, this example program performs automatic identification to improve efficiency and effectively avoid unrecognized phenomena; on this basis, the deep learning method is used to independently learn the abnormal image features of chest radiographs to achieve accurate identification , effectively improving the recognition accuracy.

[0027] Specifically, this program uses a large number of manually labeled samples to train a deep neural network, so that it can learn the abnormal image features of chest radiographs autonomously, so as to identify the abnormal image features in chest radiographs.

[0028] The large number of samples used here contains positive samples of abno...

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Abstract

The present invention discloses a depth learning-based abnormal chest radiograph intelligent identification method and system. The scheme is characterized in that: a deep neural network is trained byusing a large number of manually labeled samples, and the deep neural network identifies abnormal image features in the chest radiograph through self-learning of the abnormal image features in the chest radiograph. The resulting abnormal chest radiograph intelligent identification method can realize automatic identification of the abnormal image features in the chest radiograph, has high recognition efficiency and high recognition accuracy, can effectively avoid misdetection and unidentification, and can effectively solve the problem existing in the prior art.

Description

technical field [0001] The invention relates to image recognition technology, in particular to the recognition technology of chest radiograph abnormality. Background technique [0002] A chest X-ray is an X-ray of the chest, which is clinically called a chest radiography. Chest X-rays are widely used clinically, and people's understanding is getting deeper and deeper. Frontal chest radiography can show the size, shape, position and outline of the great vessels of the heart, and can observe the relationship between the heart and adjacent organs and the changes of blood vessels in the lungs, and can be used to measure the heart and its diameter. The left anterior oblique view shows the general picture of the aorta and the enlargement of the left and right ventricles and right atrium. Right anterior oblique view is helpful to observe the changes of left atrium enlargement, pulmonary artery segment protrusion and right ventricular infundibulum enlargement. The left side view ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30068
Inventor 吴文辉陶信东
Owner 江西中科九峰智慧医疗科技有限公司
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