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TS-PCNet-based panoramic X-ray film image classification method and system

A classification method and image technology, applied in neural learning methods, dental radiology diagnosis, instruments, etc., can solve problems such as difficulty in diagnosing early symptoms, heavy burden, and long time for manual image reading, so as to improve the accuracy of image reading and save image reading time, the effect of reducing the workload of manual features

Pending Publication Date: 2022-06-24
WUHAN UNIV
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Problems solved by technology

[0003] Based on the image classification technology in computer vision, the present invention proposes a new dental panoramic X-ray film image classification method and system, which can be applied in the field of periodontitis auxiliary diagnosis to solve the problem of oral panoramic X-ray film in the prior art. Manual reading time is long, burden is heavy, and it is difficult to diagnose early symptoms

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[0019] In order to facilitate the understanding and implementation of the present invention by those skilled in the art, the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the embodiments described herein are only used to illustrate and explain the present invention, but not to limit it. this invention.

[0020] see figure 1 The present invention provides a TS-PCNet-based panoramic X-ray image classification method, which is applied to the auxiliary diagnosis of periodontitis, so as to solve the problem that the manual reading time of oral panoramic X-rays in the prior art is long, burdensome and difficult. Problems diagnosing early symptoms; implementation includes the following steps:

[0021] Step 1: Obtain panoramic X-ray films and perform data enhancement processing;

[0022] In this embodiment, data enhancement is performed on the oral panoramic X-ray data set, and th...

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Abstract

The invention discloses a TS-PCNet-based panoramic X-ray film image classification method and system, and the method comprises the steps: carrying out the data enhancement of an oral panoramic X-ray film, enriching a data set through size transformation, random flipping, image enhancement and other methods, and improving the generalization of a model; carrying out sample equalization processing, and carrying out oversampling on categories with a small number of samples so as to equalize the data set samples; and finally, a two-stage periodontitis classification model (TS-PCNet) provided by the invention is trained on the processed data set, on the basis of the deep residual network, the first stage carries out two-stage classification of illness and health on teeth, the second stage further realizes slight, moderate and severe classification of illness degrees, and finally, accurate diagnosis of periodontitis is realized. The problems that manual film reading is long in time and heavy in burden, and early symptoms are difficult to diagnose are solved. In addition, the TS-PCNet provided by the invention has good generalization, and can be easily applied to other tasks in a transfer learning mode.

Description

technical field [0001] The invention belongs to the technical field of image classification in computer vision, and relates to an image classification method and system, in particular to a panoramic X-ray image classification method and system based on TS-PCNet, which can be applied to the field of periodontitis auxiliary diagnosis. Background technique [0002] Panoramic X-ray film is an important basis for clinical diagnosis of periodontitis. On the one hand, relying on doctors to read images manually requires more time and a heavier burden, further occupying limited medical resources; on the other hand, due to the insignificant early symptoms of periodontitis, manual diagnosis is more difficult. With the development of deep learning, computer vision technology has been widely studied and applied in medical image processing. A large number of studies have shown that this technology can reach or even exceed the level of human beings, and has broad development prospects. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08A61B6/14G06V10/764G06V10/82
CPCG06N3/08G06N3/045G06F18/241A61B6/51
Inventor 孔政敏徐焕增丁李欧阳晖周玉生
Owner WUHAN UNIV
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