Lung image segmentation method and device and training method of image segmentation model

A segmentation model and image segmentation technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as poor segmentation effect and unfavorable disease diagnosis

Inactive Publication Date: 2020-06-23
INFERVISION MEDICAL TECH CO LTD
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Problems solved by technology

In order to improve the accuracy of diagnosis, image segmentation technology can be used to segment medical images. The existing image segmentation technology has a poor segmentation effect on medical images containing large-scale lesions, which is not conducive to the diagnosis of diseases.

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  • Lung image segmentation method and device and training method of image segmentation model
  • Lung image segmentation method and device and training method of image segmentation model
  • Lung image segmentation method and device and training method of image segmentation model

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Embodiment Construction

[0027] 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 of the embodiments of the present invention, not all of them. 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.

[0028] The diagnosis of lung diseases depends on clear medical image data of lungs, and the acquisition of clear medical image data of lungs often adopts image segmentation technology. For lung images containing large-area lesions, using existing image segmentation techniques, there will be intermittent and discontinuous segmentation, which will affect the diagnosis process of the disease.

[0029] figure 1 It is a schematic flowchart of a lung ...

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Abstract

The invention provides a lung image segmentation method and device and a training method of an image segmentation model, and the method comprises the steps: inputting lung image data into the image segmentation model, and obtaining segmented first image data; performing post-processing on the first image data based on a full-connection conditional random field model to obtain second image data; and obtaining a lung field segmentation image based on the second image data. According to the technical scheme, the lung field segmentation images with continuous and clear boundaries can be obtained.

Description

technical field [0001] The invention relates to the technical field of medical image segmentation, in particular to a lung image segmentation method and device, and a training method for an image segmentation model. Background technique [0002] Medical imaging equipment can reproduce the internal structure of the human body as images, and clear medical images can help doctors diagnose patients' diseases. For example, the use of medical imaging equipment can help doctors diagnose whether there are lesions in patients' bones, lungs, breasts and other parts. In order to improve the accuracy of diagnosis, image segmentation technology can be used to segment medical images. The existing image segmentation technology has a poor segmentation effect on medical images containing large-scale lesions, which is not conducive to the diagnosis of diseases. Contents of the invention [0003] In view of this, embodiments of the present invention provide a lung image segmentation method ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/187G06N3/04G06N3/08
CPCG06T7/11G06T7/187G06N3/084G06T2207/10081G06T2207/10116G06T2207/20081G06T2207/20084G06T2207/30061G06N3/045
Inventor 王慧芳王瑜班允峰邹彤赵朝炜李新阳王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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