Invention Application
- Patent Title: ENDOSCOPIC IMAGE LEARNING DEVICE, ENDOSCOPIC IMAGE LEARNING METHOD, ENDOSCOPIC IMAGE LEARNING PROGRAM, AND ENDOSCOPIC IMAGE RECOGNITION DEVICE
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Application No.: US17885568Application Date: 2022-08-11
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Publication No.: US20220383607A1Publication Date: 2022-12-01
- Inventor: Toshihiro USUDA
- Applicant: FUJIFILM Corporation
- Applicant Address: JP Tokyo
- Assignee: FUJIFILM Corporation
- Current Assignee: FUJIFILM Corporation
- Current Assignee Address: JP Tokyo
- Priority: JP2019-042740 20190308
- Main IPC: G06V10/147
- IPC: G06V10/147 ; G06K9/62 ; G16H30/40 ; A61B1/00 ; G06N20/00 ; G06V10/22 ; G06V10/30

Abstract:
An object is to provide an endoscopic image learning device, an endoscopic image learning method, an endoscopic image learning program, and an endoscopic image recognition device that appropriately learn a learning model for image recognition for recognizing an endoscopic image in which a treatment tool for an endoscope appears.
The object is achieved by an endoscopic image learning device including an image generation unit and a machine learning unit. The image generation unit generates a superimposed image where a foreground image in which a treatment tool for an endoscope is extracted is superimposed on a background-endoscopic image serving as a background of the foreground image, and the machine learning unit performs the learning of a learning model for image recognition using the superimposed image.
The object is achieved by an endoscopic image learning device including an image generation unit and a machine learning unit. The image generation unit generates a superimposed image where a foreground image in which a treatment tool for an endoscope is extracted is superimposed on a background-endoscopic image serving as a background of the foreground image, and the machine learning unit performs the learning of a learning model for image recognition using the superimposed image.
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