Remote medical image enhancement system and method based on artificial intelligence

An artificial intelligence and medical imaging technology, applied in the field of medical technology improvement, can solve problems such as poor image quality, and achieve the effects of reducing medical costs, facilitating software and hardware resource scheduling, and simplifying dependencies

Pending Publication Date: 2020-06-02
THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the performance of medical image acquisition equipment, the medical image imaging process will be subject to noise images, resulting in poor image quality

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
  • Remote medical image enhancement system and method based on artificial intelligence
  • Remote medical image enhancement system and method based on artificial intelligence
  • Remote medical image enhancement system and method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0026] An artificial intelligence-based remote medical image enhancement system includes a remote terminal and a central server, the remote terminal includes an image acquisition module and a remote processor module, the central server module includes a business processor module, a large image data set module, A GPU cluster module and an artificial intelligence algorithm module, the remote processor module includes an enhanced algorithm module and a predictive model module, the image acquisition module is connected to the remote processor signal, the remote processor is connected to the service processor signal, the The large image data set module, the GPU cluster module and the artificial intel...

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 invention belongs to improvement of a medical technology, and particularly relates to a remote medical image enhancement system and method based on artificial intelligence, which utilize a super-resolution image reconstruction technology to improve the resolution of a medical image so as to improve the quality of the medical image, and improve the resolution of the medical image through an artificial intelligence method, thereby effectively reducing the expensive medical hardware cost. The system comprises a remote terminal and a central server, the remote terminal comprises an image acquisition module and a remote processor module, the central server module comprises a service processor module, an image big data set module, a GPU cluster module and an artificial intelligence algorithmmodule, and the remote processor module comprises an enhancement algorithm module and a prediction model module; the image acquisition module is in signal connection with the remote processor, the remote processor is in signal connection with the service processor, the image big data set module, the GPU cluster module and the artificial intelligence algorithm module are all in signal connection with the service processor, and the enhancement algorithm module is in signal connection with the prediction model module.

Description

technical field [0001] The invention belongs to an improvement of medical technology, in particular to an artificial intelligence-based remote medical image enhancement system and method. Background technique [0002] With the rapid development and popularization of medical image analysis technology in the medical field, medical image information plays an increasingly important role in the diagnosis and analysis of doctors. Doctors can obtain more intuitive information about patients' conditions from CT, MRI and other images. Such as lesion location, size, shape and other information. Therefore, the quality of medical images is directly related to the analysis and diagnosis of the disease by doctors, and improving the quality of images can effectively improve the accuracy of diagnosis. Due to the performance of medical image acquisition equipment, the medical image imaging process will be subject to noise images, resulting in poor image quality. Improving the quality of me...

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): G16H80/00G16H30/20G06N3/04
CPCG16H80/00G16H30/20G06N3/045
Inventor 赵杰翟运开李明原陈昊天何贤英高景宏崔芳芳张文杰
Owner THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products