Systems and methods for generating a neural network model for image processing
AssigneeShanghai United Imaging Healthcare Co., Ltd.
InventorsYuan BAO, Guotao QUAN
Life of this patent
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Abstract
The disclosure relates to a system and a method for generating a neural network model for image processing by interacting with at least one client terminal. The method may include receiving via a network, a plurality of first training samples from the at least one client terminal. The method may also include training a first neural network model based on the plurality of first training samples to generate a second neural network model. The method may further include transmitting, via the network, the second neural network model to the at least one client terminal.
Claims21
1-20. (canceled)
A system for generating a neural network model for image processing by interacting with at least one client terminal, comprising:
- at least one processor;
- and
- at least one storage device storing a set of instructions, the at least one processor being in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to cause the system to:
- obtain a plurality of first training samples;
- and
- train a first neural network model based on the plurality of first training samples to generate a second neural network model, wherein each of the plurality of first training samples includes a first initial image and a first processed image with respect to the first initial image, the first processed image being generated via processing the first initial image using a third neural network model.
A system for generating one or more neural network models for image processing, comprising:
- at least one client terminal;
- at least two server devices;
- a network configured to facilitate communication between the at least one client terminal and the at least two server devices in the system, wherein the at least two server devices are connected to the network through a distributed connection, and each of the at least two service devices is configured to:
- train a first neural network model for image processing based on a plurality of first training to generate a second neural network, and
- transmit the second neural network to one of the at least one client terminal.
A system for generating one or more neural network models for image processing, comprising:
- at least one client terminal;
- at least one server device;
- a storage device configured to facilitate communication between the at least one client terminal and the at least one server device in the system, each of the at least one service device is configured to:
- train a first neural network model based on a plurality of first training samples to generate a second neural network, wherein each of the plurality of first training samples includes a first initial image and a first processed image with respect to the first initial image, the first processed image being generated via processing the first initial image using a third neural network mode;
- and
- transmit the second neural network to one of the at least client terminal through the storage device.
Dependencies are inferred from the claim text.