Image grading method and device, storage medium and electronic equipment

A grading method and image segmentation technology, applied in the field of image processing, can solve the problems of slow running speed, inability to realize automatic segmentation, cumbersome and troublesome operation, etc., and achieve the effect of improving efficiency.

Pending Publication Date: 2021-08-06
联仁健康医疗大数据科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the judgment by manual calculation is cumbersome and troublesome, and it also takes a long time to measure; the interactive segmentation detection method cannot realize automatic segmentation, requires manual intervention, and takes up a lot of memory and runs slowly.

Method used

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  • Image grading method and device, storage medium and electronic equipment
  • Image grading method and device, storage medium and electronic equipment
  • Image grading method and device, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] figure 1 It is a flow chart of an image grading method provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of automatically grading images through a neural network model. This method can be executed by the image grading device provided in the embodiment of the present invention. The apparatus may be implemented by software and / or hardware, and the apparatus may be configured on electronic computing equipment, such as a desktop computer or server. Such as figure 1 As shown, the image classification method in this embodiment may specifically include the following steps:

[0030] S110. Acquire an image to be processed, and extract an image of a target part in the image to be processed.

[0031] Wherein, the image to be processed may be an image containing a target part. The type and content of the image to be processed are not specifically limited here. Optionally, the images to be processed include medical images and the l...

Embodiment 2

[0052] figure 2 It is a flow chart of an image classification method provided by Embodiment 2 of the present invention. The technical solutions of the embodiments of the present invention are further refinements based on the above embodiments. Optionally, the extracting the image of the target part in the image to be processed includes: detecting the target part on the image to be processed; if the detection result of the image to be processed includes the target part, then according to the The parameter information of the target part of the detection result is used to extract the image of the target part.

[0053] Such as figure 2 As shown, the method of the embodiment of the present invention specifically includes the following steps:

[0054] S210. Acquire an image to be processed, and detect a target part on the image to be processed.

[0055] Among them, the detection task of the target part is to find out all the interested targets in the image, and determine their...

Embodiment 3

[0067] image 3 It is a flow chart of an image classification method provided by Embodiment 3 of the present invention. The technical solutions of the embodiments of the present invention are further refinements based on the above embodiments. Optionally, performing image segmentation of the region of interest in the image of the target part to obtain a mask image of the region of interest includes: performing detection of the region of interest on the image of the target part; if the If the image of the target part includes a region of interest, image segmentation of the region of interest is performed on the image of the target part to obtain a mask image of the region of interest.

[0068] Such as image 3 As shown, the method of the embodiment of the present invention specifically includes the following steps:

[0069] S310. Acquire an image to be processed, and extract an image of a target part in the image to be processed.

[0070] S320. Perform region-of-interest de...

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Abstract

The embodiment of the invention discloses an image grading method and device, a storage medium and electronic equipment. The method comprises the following steps of acquiring a to-be-processed image, and extracting a target part image in the to-be-processed image, performing image segmentation of a region of interest in the target part image to obtain a mask image of the region of interest, and inputting the target part image and the mask image of the region of interest into a twin network model to obtain a grading result of the target part image. According to the technical scheme, when image grading is carried out, by means of the twin network model, the features of the target part image and the mask image of the region of interest can be effectively learned, so that the similarity between the target part image and the mask image of the region of interest is measured, and the grade of the target part image is accurately judged based on the similarity; therefore, automatic grading is realized, and the image processing efficiency is improved.

Description

technical field [0001] Embodiments of the present invention relate to image processing technologies, and in particular, to an image classification method, device, storage medium, and electronic equipment. Background technique [0002] A lesion refers to a limited diseased tissue with pathogenic microorganisms, called a lesion. [0003] Lesion identification and lesion area grading technology usually adopts manual calculation and judgment, interactive segmentation and detection methods for the input image, identifies the area where the lesion is located in the image, calculates the area of ​​the lesion, classifies the lesion, and makes a corresponding classification reference and recommended treatment strategies. [0004] However, the judgment by manual calculation is cumbersome and troublesome to operate, and it also takes a long time to measure; the interactive segmentation detection method cannot realize automatic segmentation, requires manual intervention, and takes up a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06K9/32G06K9/46G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06N3/08G06T2207/20104G06T2207/20084G06T2207/30096G06T2207/30168G06V10/25G06V10/44G06N3/045
Inventor 尹芳马晶马杰张晓璐罗永贵
Owner 联仁健康医疗大数据科技股份有限公司
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