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Image segmentation, model training method and device, electronic equipment and storage medium

An image segmentation and image technology, applied in the field of image processing, can solve problems such as difficult standardization, time-consuming, and unsuitable for large-scale clinical research, and achieve the effect of improving the efficiency and accuracy of segmentation

Active Publication Date: 2021-03-09
INFERVISION MEDICAL TECH CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

This process is time-consuming and difficult to standardize, making it unsuitable for large clinical studies or clinical decision-making in the real world

Method used

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  • Image segmentation, model training method and device, electronic equipment and storage medium
  • Image segmentation, model training method and device, electronic equipment and storage medium
  • Image segmentation, model training method and device, electronic equipment and storage medium

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0023] Application overview

[0024] Deep learning implements artificial intelligence in computing systems by building artificial neural networks with hierarchical structures. Since the artificial neural network with hierarchical structure can extract and filter the input information layer by layer, deep learning has the ability of representation learning, which can realize end-to-end supervised learning and unsupervised learning. The artificial neural network with hierarchical structure used ...

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Abstract

The present application discloses an image segmentation and model training method and device, an electronic device and a storage medium. The image segmentation method includes: according to the to-be-segmented image including the background, the mediastinum, the arteries and the veins, obtaining the first part of the mediastinum, the arteries, the veins and the background in the mediastinal region of the to-be-segmented image. a segmentation result; according to the image to be segmented, obtain a second segmentation result of the blood vessels in the extension area of ​​the image to be segmented and the background; according to the first segmentation result and the second segmentation result, obtain the The segmentation result of the mediastinum, the artery, the vein and the background of the image to be segmented can improve the accuracy and efficiency of segmentation between the artery and the vein.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image segmentation method and device, a model training method and device, electronic equipment and a storage medium. Background technique [0002] Image segmentation is very useful in imaging diagnosis. For example, dividing the pulmonary vessels into arteries / veins may help doctors accurately diagnose lung diseases that may affect the arterial or venous tree in specific ways. For example, recent studies have shown that arterial / venous classification allows for better assessment of pulmonary embolism, and that changes in the arterial tree are associated with the development of chronic thromboembolic pulmonary hypertension. In addition, changes in the arteries within the pulmonary parenchyma have been associated with right ventricular dysfunction. To detect changes in the two vascular trees, physicians manually analyzed the patient's chest CT images for abn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06T7/187G06N3/08G06T2207/10081G06T2207/30061G06T2207/30101G06N3/045
Inventor 刘恩佑郝智张欢赵朝炜王瑜李新阳王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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