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System and method for generating neural network model for image processing

A neural network model and image processing technology, which is applied in the field of determining the neural network model used for image processing, can solve the problem of occupying computing resources on the client side, and achieve the effect of strong computing power and shortened time

Inactive Publication Date: 2019-05-07
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, training and / or updating the neural network model may require significant computing power, and if the neural network model is trained on the client side, it may occupy a large amount of computing resources (eg, CPU) on the client side

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  • System and method for generating neural network model for image processing
  • System and method for generating neural network model for image processing
  • System and method for generating neural network model for image processing

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Embodiment Construction

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings that need to be used in the description of the embodiments. However, it will be apparent to those skilled in the art that the present application may be practiced without these details. In other instances, well-known methods, procedures, systems, components and / or circuits have been described herein at a relatively high level in order to avoid unnecessarily obscuring aspects of the application. Various modifications to the embodiments disclosed in this application will be apparent to those skilled in the art, and the general principles defined in this application can be applied to Other embodiments and application scenarios. Thus, the application is not to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the claims.

[0039] Terms used in the present application are used to d...

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Abstract

The invention relates to a system and a method for generating a neural network model for image processing through interaction with at least one client. The method can comprise receiving at least two first training samples from at least one client. The method further can comprise training a first neural network model based on at least two first training samples for generating a second neural network model. The method further can comprise transmitting the second neural network model to at least one client through a network.

Description

[0001] priority information [0002] This application claims the priority of the International Application No. PCT / CN2018 / 109135 filed on September 30, 2018, the entire contents of which are hereby incorporated by reference. [0003] The priority of the international application for , the entire content of which is hereby incorporated by reference. technical field [0004] The present application relates generally to medical image processing, and more particularly to systems and methods for determining neural network models for image processing. Background technique [0005] Medical imaging systems, such as computed tomography systems, positron emission tomography systems, magnetic resonance imaging systems, are commonly used for clinical examination and medical diagnosis. A medical imaging system may scan an object to generate scan data, and further reconstruct one or more images based on the scan data. The reconstructed image can be further processed. The processing of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/40G06N3/04G06V10/764G06V10/776
CPCG06N3/049G06N3/08G06N3/084G06V2201/03G06V10/82G06V10/776G06V10/764G06N3/044G06N3/045G06T7/0012G06T2207/20081G06T2207/20084G06F18/214G06N3/098G06T5/70
Inventor 鲍园全国涛
Owner SHANGHAI UNITED IMAGING HEALTHCARE