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Pulmonary emphysema disease prediction method, device and equipment and storage medium

A prediction method, emphysema technology, applied in the fields of financial technology and artificial intelligence, can solve problems such as the inability to predict the development direction of emphysema disease

Pending Publication Date: 2020-07-31
WEBANK (CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The main purpose of the present invention is to provide a method, device, equipment and storage medium for predicting emphysema disease, aiming to solve the existing problem that the development direction of emphysema disease cannot be predicted

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  • Pulmonary emphysema disease prediction method, device and equipment and storage medium
  • Pulmonary emphysema disease prediction method, device and equipment and storage medium
  • Pulmonary emphysema disease prediction method, device and equipment and storage medium

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Embodiment Construction

[0062] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0063] Such as figure 1 as shown, figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0064] It should be noted that the emphysema disease prediction method provided by the embodiment of the present invention can be used to improve the detection efficiency and accuracy of the emphysema level, and the execution subject of the method can be any emphysema disease prediction device, for example, The emphysema disease prediction method may be executed by a terminal device or a server or other processing device, wherein the terminal device may be user equipment (User Equipment, UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital processing (Personal Digital Assistant...

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Abstract

The invention discloses a pulmonary emphysema disease prediction method, device and equipment, and a storage medium. The method comprises the steps of obtaining a single lung lobe image of a left lungor a right lung; identifying a pulmonary emphysema area and a lesion area of a small airway of the single lung lobe image; determining a pulmonary emphysema grade detected based on the single pulmonary lobe image, and determining a ratio of the pulmonary emphysema area to the lesion area of the small airway; and based on the detected pulmonary emphysema grade and the ratio, determining a predicted development grade of pulmonary emphysema. According to the invention, the prediction development level of emphysema can be determined, and the development direction of emphysema diseases can be predicted.

Description

technical field [0001] The present invention relates to the technical fields of financial technology and artificial intelligence, and in particular to a method, device, equipment and storage medium for predicting emphysema disease. Background technique [0002] Emphysema disease is a common preventable and treatable condition characterized by persistent respiratory symptoms and airflow limitation caused by airway and / or alveolar abnormalities caused by significant exposure to noxious particles or gases. [0003] Clinically, small bronchioles with an inner diameter of less than 2 mm are usually called small airways. Small airways have the characteristics of low airflow resistance but are easy to be blocked. During calm inhalation, air enters the narrow nasopharynx, creating a vortex. Since the small airway has no cartilage support, after breaking away from the fibrous sheath and inserting into the lung tissue, the patency of the lumen is not like the cartilaginous airway, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06T7/00G06T7/11G06T7/136G06T7/62G06K9/62A61B6/00A61B6/03
CPCG16H50/20G06T7/0012G06T7/11G06T7/62G06T7/136A61B6/032A61B6/52A61B6/5217G06T2207/20084G06T2207/30061G06F18/24
Inventor 李月蔡杭魏征
Owner WEBANK (CHINA)
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