Title:
DEDUCTION DEVICE, LEARNING MODEL, LEARNING MODEL GENERATION METHOD, AND COMPUTER PROGRAM
Document Type and Number:
WIPO Patent Application WO/2020/152815
Kind Code:
A1
Abstract:
Provided are a deduction device, a learning model, a learning model generation method, and a computer program. The present invention is provided with: an acquisition unit that acquires an oral cavity image obtained by taking an image of the oral cavity of a subject; a deduction unit that, by using a learning model configured to output information about lesions in oral cavity mucosa in response to an input of the oral cavity image, deduces the presence/absence of lesions in the oral cavity mucosa of the subject from the oral cavity image acquired by the acquisition unit; and an output unit that outputs the result of deduction by the deduction unit.
Inventors:
HIRAOKA SHIN-ICHIRO (JP)
Application Number:
PCT/JP2019/002196
Publication Date:
July 30, 2020
Filing Date:
January 24, 2019
Export Citation:
Assignee:
UNIV OSAKA (JP)
International Classes:
A61B5/00; A61B1/045; A61B1/24; A61B10/00
Domestic Patent References:
| WO2017175282A1 | 2017-10-12 |
Foreign References:
| JP2018532441A | 2018-11-08 |
Other References:
NOZAKI, KAZUNORI ET AL.: "Efforts for Utilization of AI in Dental Diagnosis", THE NIPPON DENTAL REVIEW, vol. 910, 11 August 2018 (2018-08-11), pages 21 - 23
YAMADA, MASAYOSHI: "New Medicine in Japan", SPECIAL PROJECT] MEDICAL APPLICATIONS OF DIVERSIFYING AI, vol. 45, March 2018 (2018-03-01), pages 130 - 133
ANANTHARAMAN RAJARAM; VELAZQUEZ MATTHEW; LEE YUGYUNG: "Utilizing Mask R-CNN for Detection and Segmentation of Oral Diseases", 2018 1EEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM, 3 December 2018 (2018-12-03), pages 2197 - 2204, XP033507331
YAMADA, MASAYOSHI: "New Medicine in Japan", SPECIAL PROJECT] MEDICAL APPLICATIONS OF DIVERSIFYING AI, vol. 45, March 2018 (2018-03-01), pages 130 - 133
ANANTHARAMAN RAJARAM; VELAZQUEZ MATTHEW; LEE YUGYUNG: "Utilizing Mask R-CNN for Detection and Segmentation of Oral Diseases", 2018 1EEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM, 3 December 2018 (2018-12-03), pages 2197 - 2204, XP033507331
Attorney, Agent or Firm:
KOHNO, Hideto et al. (JP)
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