Title:
DISEASE DIAGNOSIS SUPPORT METHOD, DIAGNOSIS SUPPORT SYSTEM AND DIAGNOSIS SUPPORT PROGRAM EMPLOYING ENDOSCOPIC IMAGE OF DIGESTIVE ORGAN, AND COMPUTER-READABLE RECORDING MEDIUM HAVING SAID DIAGNOSIS SUPPORT PROGRAM STORED THEREON
Document Type and Number:
WIPO Patent Application WO/2018/225448
Kind Code:
A1
Abstract:
Provided is a disease diagnosis support method and the like which employ an endoscopic image of a digestive organ, and in which a neural network is used. This disease diagnosis support method, which employs an endoscopic image of a digestive organ, and in which a neural network is used, is characterized in that the neural network is trained using a first endoscopic image of a digestive organ, and, corresponding to the first endoscopic image, a confirmed diagnosis result of at least one of a positive or negative diagnosis of the disease of said digestive organ, previous disease, a level of severity, or information corresponding to the imaged site, and on the basis of a second endoscopic image of a digestive organ, the trained neural network outputs at least one of the probability of a positive and/or negative diagnosis of the disease of said digestive organ, the probability of previous disease, the level of severity of the disease, and information corresponding to the imaged site.
Inventors:
TADA TOMOHIRO (JP)
AOYAMA KAZUHARU (JP)
TAKIYAMA HIROTOSHI (JP)
OZAWA TSUYOSHI (JP)
ENDO YUMA (JP)
KUMAGAI YOUICHI (JP)
AOYAMA KAZUHARU (JP)
TAKIYAMA HIROTOSHI (JP)
OZAWA TSUYOSHI (JP)
ENDO YUMA (JP)
KUMAGAI YOUICHI (JP)
Application Number:
PCT/JP2018/018316
Publication Date:
December 13, 2018
Filing Date:
May 11, 2018
Export Citation:
Assignee:
TADA TOMOHIRO (JP)
International Classes:
A61B1/045; A61B1/00; A61B1/273
Foreign References:
| JP2002165757A | 2002-06-11 | |||
| JP2009095644A | 2009-05-07 |
Other References:
INUI, MASAYUKI ET AL.: "Examining Stomach Cancer Risks: Future Stomach Cancer Treatments Using ABC Examination", BIKEN JOURNAL: JOURNAL OF RESEARCH INSTITUTE FOR MICROBIAL DISEASES, vol. 37, no. 3, 2014, pages 3 - 11
SEKINO, MASANORI ET AL.: "Improved Convolutional Neural Network Character Recognition Based on Visual Information Processing Mode l", FUJI XEROX TECHNICAL REPORT, vol. 23, 2014, pages 82 - 88
SEKINO, MASANORI ET AL.: "Improved Convolutional Neural Network Character Recognition Based on Visual Information Processing Mode l", FUJI XEROX TECHNICAL REPORT, vol. 23, 2014, pages 82 - 88
Attorney, Agent or Firm:
TECHNO TERRACE PATENT OFFICE (JP)
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