Information Processing Device, Information Processing Method, and Recording Medium
AssigneeAnaut Inc.
InventorsNao Kobayashi, Yuta Kumazu, Seigo Senya
Life of this patent
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Abstract
An information processing device, includes one or more processors and a storage storing instructions causing any of the one or more processors to execute processing of executing computation by a first learning model in accordance with input of an operative field image, executing computation by a second learning model in accordance with the input of the operative field image, deriving an integrative recognition result for the operative field image based on a computation result based on the first learning model and the second learning model, and outputting information based on the derived recognition result.
Claims5
An information processing device, comprising:
- one or more processors, and
- a storage storing instructions causing one or more processors to execute processing of:
- executing computation by a first learning model trained to output information relevant to organs included in an operative field image in response to an input of the operative field image, and executing a rendering process of an organ recognized by the computation result of the first learning model, in foreground,
- executing computation by a second learning model trained to output information regarding a scene represented by the operative field image, a bleeding event or a damage event, as a recognition target in response to the input of the operative field image, and executing a recording process of recording a recognition result recognized by the computation result of the second learning model as a log entry, in background;
- and
- outputting an image rendered by the rendering process.
An information processing device, comprising
- one or more processors;
- and
- a storage storing instructions causing one or more processors to execute processing of:
- executing computation by a first learning model trained to output information relevant to organs included in an operative field image in response to an input of the operative field image, and executing a rendering process of an organ recognized by the computation result of the first learning model;
- executing computation by a second learning model trained to output information regarding a scene represented by the operative field image, a bleeding event or a damage event, as recognition target in response to the input of the operative field image, and executing a recording process of recording a recognition result recognized by the computation result of the second learning model as a log entry;
- and
- executing the rendering process of an image representing the recognition target, instead of the computation by the first learning model and the rendering process of the organ, or in conjunction with the computation by the first learning model and the rendering process of the organ.
An information processing method for causing a computer to execute processing of:
- executing computation by a first learning model trained to output information relevant to organs included in an operative field image in response to an input of the operative field image, and executing a rendering process of an organ recognized by the computation result of the first learning model, in foreground;
- executing computation by a second learning model trained to output information regarding a scene represented by the operative field image, a bleeding event or a damage event, as a recognition target in response to the input of the operative field image, and executing a recording process of recording a recognition result recognized by the computation result of the second learning model as a log entry, in background;
- and
- outputting an image rendered by the rendering process.
A non-transitory computer readable recording medium storing a computer program that causes a computer to execute processing comprising:
- executing computation by a first learning model trained to output information relevant to organs included in an operative field image in response to an input of the operative field image, and executing a rendering process of an organ recognized by the computation result of the first learning model, in foreground;
- executing computation by a second learning model trained to output information regarding a scene represented by the operative field image, a bleeding event or a damage event, as a recognition target in response to the input of the operative field image, and executing a recording process of recording a recognition result recognized by the computation result of the second learning model as a log entry, in background, and
- outputting an image rendered by the rendering process.
Dependencies are inferred from the claim text.