Image processing method, device and equipment and storage medium

An image processing, image technology

Pending Publication Date: 2020-09-04
WEBANK (CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the lung lobes are usually extracted directly according to the cracks of the lung lobes or the lung boundaries. However, for patients with adhesions in the lungs or severe emphysema, there will be adhesions between the boundaries of the lung area and the inner wall of the chest cavity. Extraction is incomplete, resulting in less accurate lung lobe extraction

Method used

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  • Image processing method, device and equipment and storage medium
  • Image processing method, device and equipment and storage medium
  • Image processing method, device and equipment and storage medium

Examples

Experimental program
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Embodiment Construction

[0021] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0022] It should be noted that the image processing device in this embodiment of the present invention may be a smart phone, a personal computer, a server, etc., and no specific limitation is set here.

[0023] An image processing method provided by an embodiment of the present invention may be executed by any image processing device. For example, the image processing method may be executed by a terminal device or a server, wherein the terminal device may be a user equipment (UserEquipment, UE), a mobile device , user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, vehicle-mounted device, wearable device, etc. The server can be a local server or a cloud server. In some possible implementation manners, the basic image processing method may be imp...

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Abstract

The invention discloses an image processing method, device and equipment and a storage medium, and the method comprises the steps: obtaining the image features of a lesion lung image, and the lesion lung image is a lung image where the boundary of a lung region adheres to the inner wall of a thoracic cavity; correcting the lesion lung image based on the image features, and determining the lung area volume of the lesion lung image based on the lung area contour obtained by the corrected lesion lung image; and determining a lung lobe position of the focus lung image based on the lung area volume, and extracting lung lobes based on the lung lobe position. The lung lobe area can be rapidly and accurately divided, and rapid quantitative analysis of clinical diseases can be achieved in an assisted mode.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an image processing method, device, equipment and storage medium. Background technique [0002] By extracting lung lobes, the specific distribution of a certain disease in a certain lung lobe can be determined, and the lung disease can be quantitatively analyzed. At present, the lung lobes are usually extracted directly according to the cracks of the lung lobes or the lung boundaries. However, for patients with adhesions in the lungs or severe emphysema, there will be adhesions between the boundaries of the lung area and the inner wall of the chest cavity. The extraction is incomplete, resulting in less accurate lung lobe extraction. Contents of the invention [0003] The main purpose of the present invention is to provide an image processing method, device, equipment and storage medium, aiming at improving the accuracy of lung lobe extraction. [0004...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/73G06T7/62G06T5/00G06T5/50G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06T7/73G06T7/62G06T5/006G06T5/50G06N3/08G06T2207/10081G06T2207/10088G06T2207/20081G06T2207/20192G06T2207/20221G06T2207/30061G06N3/045
Inventor 李月蔡杭
Owner WEBANK (CHINA)
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