CPC A61B 34/30 (2016.02) [G06N 20/00 (2019.01); A61B 2034/107 (2016.02); A61B 2034/2065 (2016.02); A61B 2034/303 (2016.02)] | 17 Claims |
10. An apparatus for training a machine learning model comprising:
a processor configured to obtain an operation command for moving a medical tool of a medical tool control device based on the machine learning model for determining an operation of the medical tool control device from guide data generated using a blood vessel image, generate evaluation data for a position to which a distal end of the medical tool has been moved according to the operation command in the blood vessel image, and update the machine learning model by changing a parameter of the machine learning model by using the evaluation data; and
a memory configured to store at least one of the guide data, the operation command, the evaluation data, and the machine learning model,
wherein the processor applies a first group compensation value to the evaluation data in response to a case where the distal end of the medical tool reaches one of the destination area and the middle target area in the blood vessel image, and applies a second group compensation value in response to a case where the distal end of the medical tool reaches a penalty area and a case where the distal end of the medical tool has been moved into a section between a middle target area, a destination area, or the penalty area.
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