Unlock instant, AI-driven research and patent intelligence for your innovation.

Image processing method and device, electronic equipment and storage medium

An image processing and image fusion technology, applied in the field of image processing, can solve the problems of waste of manpower, difficult identification of lesion information, low identification efficiency, etc., and achieve the effect of reducing misdiagnosis

Pending Publication Date: 2022-04-29
挂号网(杭州)科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The result of lesion type is usually closely related to the doctor's clinical experience, but for the situation where the lesion information is difficult to identify, for example, in digital radiography (DR) images, it may be difficult for experienced doctors to distinguish thoracolumbar compression fractures as old fractures It is still a fresh fracture, which wastes a lot of manpower and has the problem of low identification efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] figure 1 It is a flow chart of an image processing method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of classifying images. The method can be executed by the image processing device in the embodiment of the present invention. The device can adopt It can be realized by means of software and / or hardware. Optionally, it can be realized by electronic equipment. The electronic equipment can be a mobile terminal, a PC terminal or a server terminal, etc. The device can be configured in a computing device, and the image processing method provided in this embodiment specifically includes the following steps:

[0033] S110. Obtain the data to be processed of the target lesion.

[0034] Wherein, the data to be processed includes a target static image corresponding to the target lesion and a classified video to be used, and the classified video to be used includes a plurality of video frames to be processed; the target static ...

Embodiment 2

[0051] figure 2 It is a schematic diagram of an image processing method provided by Embodiment 2 of the present invention. On the basis of the foregoing embodiments, S120 is further refined. For its specific implementation, refer to the technical solution of this embodiment. Wherein, technical terms that are the same as or corresponding to those in the foregoing embodiments will not be repeated here.

[0052] Such as figure 2 As shown, the method specifically includes the following steps:

[0053] S210. Obtain the data to be processed of the target lesion.

[0054] S220. Input the first video frame to be processed and the target still image in the classified video to be used into the image fusion model to obtain a first fusion image corresponding to the first video frame to be processed as the current Blend images.

[0055] In this embodiment, when each video frame to be processed, the target static image, and the fusion image corresponding to each video frame to be pro...

Embodiment 3

[0075] As an optional embodiment of the above embodiment, Figure 5 It is a schematic diagram of an image processing method provided by Embodiment 3 of the present invention. For details, refer to the following specific content.

[0076] see Figure 5 , the first video frame to be processed and the target still image in the classified video to be used can be input into the corresponding image preprocessing sub-model, for example, each image preprocessing sub-model is a CNN network with 4 to 8 layers, and the architecture is each Layers 2 to 4 are one unit, and downsampling layers are set between units. The first to-be-processed video frame and the target static image go through their own specific image preprocessing sub-models, the image size can be reduced to 1 / 4 of the original, and the number of feature layers can reach more than 64. Further, the output of the image preprocessing sub-model can be used as the input of the feature preprocessing module, wherein the feature ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses an image processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring to-be-processed data of a target focus; sequentially inputting each to-be-processed video frame in the to-be-used classified video, the target static image and a fusion image corresponding to each to-be-processed video frame into a pre-trained image fusion model to obtain a target fusion image; performing classification processing on the target fusion image based on a pre-trained image classification model to obtain classification attribute features corresponding to the to-be-processed data; and based on the classification attribute features, determining a target classification result corresponding to the target focus. The problems of low identification efficiency and poor accuracy caused by manual identification of the lesion type corresponding to the image including the lesion in the prior art are solved, and the effects of saving manpower and improving the convenience and effectiveness of image classification corresponding to the lesion information are achieved.

Description

technical field [0001] Embodiments of the present invention relate to image processing technologies, and in particular, to an image processing method, device, electronic equipment, and storage medium. Background technique [0002] With the rapid development of computer science and medical imaging engineering, many advanced medical imaging equipment have emerged, providing medical images for clinical medical diagnosis, which can reflect the relevant information of human body structure, organs and diseased tissues . Therefore, identifying the lesion in the image and determining the type of the lesion have become more and more commonly used means. In the prior art, usually a physician directly observes features of a lesion in a medical image to identify a lesion type. Or in order to realize the intelligentization of image processing, intelligent algorithms are often used to fuse multiple medical images including lesions, and after obtaining the fused images, the doctors deter...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/80G06K9/62
CPCG06F18/251G06F18/254
Inventor 孟海忠吴边柴鹏飞方成饶官军毛晨思冯辉任宇翔
Owner 挂号网(杭州)科技有限公司