Method and apparatus for training operation determination model for medical instrument control device
AssigneeMedipixel, Inc.
InventorsKyo Seok Song, Chae Hyeuk Lee, Kyung Hwan Kim
Life of this patent
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Abstract
This system for training an operation determination model for a medical instrument control device generates training data by means of a reinforcement learning model, and, using the training data, can train an operation determination model configured to output information associated with operational commands for a driving unit that transports medical instruments.
Claims18
A method, performed by a processor, of training an operation determination model of a medical instrument control device, the method comprising:
- when a medical instrument inserted into a vascular model reaches a branching region in the vascular model, identifying a procedure environment in the branching region;
- selecting a reinforcement learning model corresponding to the identified procedure environment from a plurality of reinforcement learning models and training the selected reinforcement learning model by reinforcement learning based on a vascular patch image extracted for the branching region;
- after training of the selected reinforcement learning model is finished, calculating a training output based on the selected reinforcement learning model from the vascular patch image for the branching region and generating training data in which the training output pairs with the extracted vascular patch image as a training input;
- and
- training the operation determination model by supervised learning based on the generated training data.
A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform a method comprising the steps of:
- when a medical instrument inserted into a vascular model reaches a branching region in the vascular model, identifying a procedure environment in the branching region;
- selecting a reinforcement learning model corresponding to the identified procedure environment from a plurality of reinforcement learning models and training the selected reinforcement learning model by reinforcement learning based on a vascular patch image extracted for the branching region;
- after training of the selected reinforcement learning model is finished, calculating a training output based on the selected reinforcement learning model from the vascular patch image for the branching region and generating training data in which the training output pairs with the extracted vascular patch image as a training input;
- and
- training the operation determination model by supervised learning based on the generated training data.
A system for training an operation determination model of a medical instrument control device, the system comprising:
- a memory configured to store a plurality of reinforcement learning models and operation determination models;
- and
- a processor configured to, when a medical instrument inserted into a vascular model reaches a branching region in the vascular model, identify a procedure environment in the branching region, select a reinforcement learning model corresponding to the identified procedure environment among the plurality of reinforcement learning models, train the selected reinforcement learning model by reinforcement learning based on a vascular patch image extracted for the branching region, after training of the selected reinforcement learning model is finished, calculate a training output based on the selected reinforcement learning model from the vascular patch image for the branching region, generate training data in which the training output pairs with the extracted vascular patch image as a training input, and train the operation determination model by supervised learning based on the generated training data.
Dependencies are inferred from the claim text.