WO2021054477A3 - Disease diagnostic support method using endoscopic image of digestive system, diagnostic support system, diagnostic support program, and computer-readable recording medium having said diagnostic support program stored therein - Google Patents
Disease diagnostic support method using endoscopic image of digestive system, diagnostic support system, diagnostic support program, and computer-readable recording medium having said diagnostic support program stored therein Download PDFInfo
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- WO2021054477A3 WO2021054477A3 PCT/JP2020/035652 JP2020035652W WO2021054477A3 WO 2021054477 A3 WO2021054477 A3 WO 2021054477A3 JP 2020035652 W JP2020035652 W JP 2020035652W WO 2021054477 A3 WO2021054477 A3 WO 2021054477A3
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- WIPO (PCT)
- Prior art keywords
- diagnostic support
- endoscopic
- wce
- images
- disease
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/04—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
- A61B1/045—Control thereof
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Surgery (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Animal Behavior & Ethology (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Radiology & Medical Imaging (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Optics & Photonics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Endoscopes (AREA)
Abstract
The present invention provides a diagnostic support method and a diagnostic support system with which it is possible to accurately identify various small intestinal diseases using a convolutional neural network (CNN) system based on small intestine endoscopic images or moving images from a wireless capsule endoscope (WCE). A diagnostic support system according to an aspect of the present invention uses first endoscopic images of small intestines from a WCE and definitive diagnostic results of diseases respectively corresponding to the first endoscopic images to train a CNN system. The trained CNN system detects a small intestinal disease on the basis of a second endoscopic image of a small intestine from a WCE, and outputs at least one of a probability score and a region corresponding to the disease positivity. Said diagnostic support system is characterized in that the first endoscopic images are WCE endoscopic static images of small intestines, and the second endoscopic image is a WCE endoscopic moving image of a small intestine.
Applications Claiming Priority (10)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2019172355 | 2019-09-20 | ||
JP2019-172355 | 2019-09-20 | ||
JP2019-197174 | 2019-10-30 | ||
JP2019197174 | 2019-10-30 | ||
JP2019225961 | 2019-12-13 | ||
JP2019-225961 | 2019-12-13 | ||
JP2020-027627 | 2020-02-20 | ||
JP2020027627 | 2020-02-20 | ||
JP2020-080865 | 2020-04-30 | ||
JP2020080865 | 2020-04-30 |
Publications (2)
Publication Number | Publication Date |
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WO2021054477A2 WO2021054477A2 (en) | 2021-03-25 |
WO2021054477A3 true WO2021054477A3 (en) | 2021-07-22 |
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PCT/JP2020/035652 WO2021054477A2 (en) | 2019-09-20 | 2020-09-19 | Disease diagnostic support method using endoscopic image of digestive system, diagnostic support system, diagnostic support program, and computer-readable recording medium having said diagnostic support program stored therein |
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WO (1) | WO2021054477A2 (en) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113222932B (en) * | 2021-05-12 | 2023-05-02 | 上海理工大学 | Small intestine endoscope picture feature extraction method based on multi-convolution neural network integrated learning |
CN113344926B (en) * | 2021-08-05 | 2021-11-02 | 武汉楚精灵医疗科技有限公司 | Method, device, server and storage medium for recognizing biliary-pancreatic ultrasonic image |
WO2023053854A1 (en) * | 2021-09-29 | 2023-04-06 | 京都府公立大学法人 | Diagnostic assistance device and diagnostic assistance program |
WO2024018581A1 (en) * | 2022-07-21 | 2024-01-25 | 日本電気株式会社 | Image processing device, image processing method, and storage medium |
JP7349005B1 (en) | 2022-11-08 | 2023-09-21 | 株式会社両備システムズ | Program, information processing method, information processing device, and learning model generation method |
CN117058467B (en) * | 2023-10-10 | 2023-12-22 | 湖北大学 | Gastrointestinal tract lesion type identification method and system |
Citations (4)
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US20120316421A1 (en) * | 2009-07-07 | 2012-12-13 | The Johns Hopkins University | System and method for automated disease assessment in capsule endoscopy |
WO2016185617A1 (en) * | 2015-05-21 | 2016-11-24 | オリンパス株式会社 | Image processing device, image processing method, and image processing program |
WO2017175282A1 (en) * | 2016-04-04 | 2017-10-12 | オリンパス株式会社 | Learning method, image recognition device, and program |
WO2019088121A1 (en) * | 2017-10-30 | 2019-05-09 | 公益財団法人がん研究会 | Image diagnosis assistance apparatus, data collection method, image diagnosis assistance method, and image diagnosis assistance program |
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2020
- 2020-09-19 WO PCT/JP2020/035652 patent/WO2021054477A2/en active Application Filing
Patent Citations (4)
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US20120316421A1 (en) * | 2009-07-07 | 2012-12-13 | The Johns Hopkins University | System and method for automated disease assessment in capsule endoscopy |
WO2016185617A1 (en) * | 2015-05-21 | 2016-11-24 | オリンパス株式会社 | Image processing device, image processing method, and image processing program |
WO2017175282A1 (en) * | 2016-04-04 | 2017-10-12 | オリンパス株式会社 | Learning method, image recognition device, and program |
WO2019088121A1 (en) * | 2017-10-30 | 2019-05-09 | 公益財団法人がん研究会 | Image diagnosis assistance apparatus, data collection method, image diagnosis assistance method, and image diagnosis assistance program |
Non-Patent Citations (3)
Title |
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XIAO, JIA: "A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images", 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 16 August 2016 (2016-08-16), pages 639 - 642, XP032979235 * |
XU LANMENG; FAN SHANHUI; FAN YIHONG; LI LIHUA: "Automatic polyp recognition of small bowel in wireless capsule endoscopy images", PROC. SPIE 10579, MEDICAL IMAGING 2018: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, vol. 10579, no. 72173, 6 March 2018 (2018-03-06), pages 1057919-1 - 1057919-9, XP060103593 * |
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WO2021054477A2 (en) | 2021-03-25 |
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