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AssigneeOlympus Corporation
InventorsKoichi Shintani, Akira Tani, Osamu Nonaka, Manabu Ichikawa, Tomoko Gocho
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An information processing device of the present invention is capable of collaboration with a learning device to determine whether an image group that has been obtained in time series by the first endoscope is an image group obtained at a first time or at a second time, and to create a first inference model for image feature determination of images for the first endoscope by performing learning with results of having performed annotation on the image group that was obtained at the second time as training data, the information processing device comprising at least one or a plurality of classifying processors that classify image groups constituting training data candidates, within an image group from the first endoscope that has been newly acquired, or an image group from a second endoscope, using the image group that has been obtained at the first time, when the first inference model was created.
An information processing device capable of collaboration with a learning device to determine, for the purpose of performing determination of specified image features, for images that have been obtained successively from a first endoscope, whether an image group that has been obtained in time series by the first endoscope is an image group obtained at a first time or an image group obtained at a second time, and to create a first inference model for image feature determination of images for the first endoscope by performing learning with results of having performed annotation on the image group that was obtained at the second time as training data, the information processing device comprising:
An information processing method capable of collaboration with a learning method to determine, for the purpose of performing determination of specified image features, for images that have been obtained successively from a first endoscope, whether an image group that has been obtained in time series by the first endoscope is an image group obtained at a first time or an image group obtained at a second time, and to create a first inference model for image feature determination of images for the first endoscope by performing learning with results of having performed annotation on the image group that was obtained at the second time as training data, the information processing method comprising:
A non-transitory computer-readable medium, storing a processor executable code, which when executed by at least one processor, performs an information processing method that is capable of collaboration with a learning method to determine, for the purpose of performing determination of specified image features, for images that have been obtained successively from a first endoscope, whether an image group that has been obtained in time series by the first endoscope is an image group obtained at a first time or an image group obtained at a second time, and to create a first inference model for image feature determination of images for the first endoscope by performing learning with results of having performed annotation on the image group that was obtained at the second time as training data, the information processing method comprising:
Dependencies are inferred from the claim text.