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 PDF

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Publication number
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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PCT/JP2020/035652
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French (fr)
Japanese (ja)
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WO2021054477A2 (en
Inventor
智裕 多田
宏章 斎藤
智聖 七條
有真 遠藤
和玄 青山
篤生 山田
健太郎 中川
立 石原
智則 青木
温子 玉城
浩也 上山
陽介 辻
清香 永尾
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株式会社Aiメディカルサービス
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Publication of WO2021054477A2 publication Critical patent/WO2021054477A2/en
Publication of WO2021054477A3 publication Critical patent/WO2021054477A3/en

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00Instruments 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
    • A61B1/04Instruments 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
    • A61B1/045Control thereof
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-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.
PCT/JP2020/035652 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 WO2021054477A2 (en)

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
WO2021054477A2 WO2021054477A2 (en) 2021-03-25
WO2021054477A3 true WO2021054477A3 (en) 2021-07-22

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Families Citing this family (6)

* Cited by examiner, † Cited by third party
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

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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
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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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