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Processing method and system applied to AI lung image

A treatment method, lung technology, applied in the medical field, can solve problems such as lack of systematic norms, unrecognized analysis, and diagnostic errors.

Pending Publication Date: 2021-12-24
王其景
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If lung disease can be detected as soon as possible in the early stage, it can have a high cure rate. At present, the method of diagnosing lung disease is mainly to take CT images of the lungs and submit them to doctors for analysis and diagnosis. There are personal subjective factors, lack of systematic specifications, and unrecognizable points or diagnostic errors may occur during analysis

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  • Processing method and system applied to AI lung image
  • Processing method and system applied to AI lung image
  • Processing method and system applied to AI lung image

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Experimental program
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Embodiment 1

[0036] see figure 1 , figure 1 Shown is a flow chart of a processing method applied to an AI lung image provided by an embodiment of the present application.

[0037] A processing method applied to AI lung images, comprising the steps of:

[0038] S110: Acquire a lung image of the patient, and preprocess the lung image to obtain an enhanced image; use the grayscale characteristics of the enhanced image to identify lung edges, and segment the enhanced image to obtain a lung parenchyma image;

[0039] In detail, the acquired lung image can be a CT image, the boundary of the initially acquired lung image is not clear enough, and the lung image is preprocessed to obtain an enhanced image, so that the blurred CT image can be clearer, which is convenient to discern. After preprocessing to obtain a clear enhanced image, according to the Otsu method, that is, according to the grayscale characteristics of the enhanced image, the edge of the lung is identified, the enhanced image is ...

Embodiment 2

[0055] see figure 2 , figure 2 It is a schematic diagram of a processing system applied to AI lung images according to an embodiment of the present invention.

[0056] An embodiment of the present application provides a processing system applied to AI lung images, including an image acquisition module 203, an image processing module 204, an image recognition module 206, and an analysis module 206: the above-mentioned image acquisition module 203 is used to acquire images of the patient's lungs, Preprocessing the above-mentioned lung image to obtain an enhanced image; the above-mentioned image processing module 204 is configured to use the grayscale characteristics of the above-mentioned enhanced image to identify the edge of the lung, and segment the above-mentioned enhanced image to obtain an image of the lung parenchyma; the above-mentioned The image recognition module 206 inputs the above-mentioned lung parenchyma image into the pre-established convolutional neural netwo...

Embodiment 3

[0061] see image 3 , image 3 A schematic structural block diagram of an electronic device provided in an embodiment of the present application. The electronic device includes a memory 101, a processor 102, and a communication interface 103. The memory 101, the processor 102, and the communication interface 103 are electrically connected to each other directly or indirectly, so as to realize data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The memory 101 can be used to store software programs and modules, such as the program instructions / modules corresponding to the AI ​​lung image processing system provided by the embodiment of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, Various functional applications and data processing are thereby performed. The communication interface 103 can be used...

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Abstract

The invention provides a processing method and system applied to an AI lung image, and relates to the technical field of medical treatment. A processing method applied to an AI lung image comprises the following steps: acquiring a lung image of a patient, and preprocessing the lung image to obtain an enhanced image; identifying the lung edge by using the gray characteristic of the enhanced image, and segmenting the enhanced image to obtain a lung parenchyma image; inputting the lung parenchyma image into a pre-established convolutional neural network, and performing local recognition on the lung parenchyma image for multiple times to obtain a recognition result; and obtaining a condition analysis result of the patient according to the identification result. The invention can realize automatic detection of lung diseases of a person, can quickly and accurately judge whether the person is ill or not, can quickly analyze the lung diseases of the patient, and is convenient for timely diagnosis and treatment.

Description

technical field [0001] The present invention relates to the field of medical technology, in particular, to a processing method and system applied to AI lung images. Background technique [0002] Pulmonary disease is a disease of the lung itself or a pulmonary manifestation of a systemic disease. In addition to being in charge of respiratory function, the lung also has non-respiratory defense, immunity and endocrine and metabolic functions. [0003] Common lung diseases include pulmonary tuberculosis, pneumonia, and lung cancer. Among them, pulmonary tuberculosis is a common disease of chronic bacterial lung infection. There are about 20 million active tuberculosis patients in the world, and 3 million people die of tuberculosis every year. Tuberculosis is still one of the infectious diseases threatening human health. Lung cancer is one of the malignant tumors with the fastest increasing morbidity and mortality and the greatest threat to the health and life of the population...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/194G06T7/13G06T5/00G06N3/04A61B6/00
CPCG06T7/0012A61B6/52G06T7/13G06T7/194G06N3/045G06T5/73
Inventor 王其景许燕
Owner 王其景