Method for generating learning model and program
AssigneeHoya Corporation
InventorsChihiro Kambe, Kohei Iketani
Life of this patent
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Abstract
There is provided a method for generating a learning model, the method including: acquiring an endoscopic image captured by an endoscope and manipulation information regarding a manipulation of an endoscope operator in each stage of operation of the endoscope by the endoscope operator operating the endoscope; and generating a learning model learned so as to output the manipulation information of a next stage in a case where the endoscopic image and the manipulation information are input, based on training data including the acquired endoscopic image and manipulation information, and the manipulation information of the next stage.
Claims19
A method for generating a learning model, the method comprising:
- acquiring an endoscopic image captured by an endoscope and manipulation information regarding a manipulation of an endoscope operator in each stage of operation of the endoscope by the endoscope operator operating the endoscope;
- generating a learning model learned so as to output the manipulation information of a next stage in a case where the endoscopic image and the manipulation information are input, based on training data including the acquired endoscopic image and manipulation information, and the manipulation information of the next stage;
- specifying the manipulation level of the endoscope operator with respect to the manipulation of the endoscope;
- displaying the manipulation information of the next stage, which is output from the learning model, in a case of a first manipulation level according to the specified manipulation level;
- and
- in a case of a second manipulation level higher than the first manipulation level, not displaying the manipulation information of the next stage, which is output from the learning model, when predetermined conditions are satisfied, and displaying the manipulation information of the next stage, which is output from the learning model, when the predetermined conditions are not satisfied.
A non-transitory computer-readable medium containing a program causing a computer to execute processing comprising:
- acquiring an endoscopic image captured by an endoscope and manipulation information regarding a manipulation of an endoscope operator in each stage of operation of the endoscope by the endoscope operator operating the endoscope;
- and
- inputting the acquired endoscopic image and manipulation information to a learning model learned so as to output the manipulation information of a next stage and outputting the manipulation information of the next stage in a case where the endoscopic image and the manipulation information are input, based on training data including the endoscopic image and manipulation information, and the manipulation information of the next stage;
- specifying the manipulation level of the endoscope operator with respect to the manipulation of the endoscope;
- displaying the manipulation information of the next stage, which is output from the learning model, in a case of a first manipulation level according to the specified manipulation level;
- and
- in a case of a second manipulation level higher than the first manipulation level, not displaying the manipulation information of the next stage, which is output from the learning model, when predetermined conditions are satisfied, and displaying the manipulation information of the next stage, which is output from the learning model, when the predetermined conditions are not satisfied.
Dependencies are inferred from the claim text.