Title:
ENDOSCOPE OBSERVATION ASSISTANCE DEVICE, ENDOSCOPE OBSERVATION ASSISTANCE METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/198808
Kind Code:
A1
Abstract:
Provided is an endoscope observation assistance device, and the like, which has higher endoscope observation assisting performance and enables doctors to observe a lesion more easily and accurately. This endoscope observation assistance device (100) is provided with: an image information acquisition unit (31) for acquiring images of a lumen organ captured by an endoscope device (40) and displaying the captured images on a display unit (22); a lesion information acquisition unit (32) for detecting a predetermined lesion on the basis of the captured images and acquiring lesion information relating to the lesion; a lesion disappearance determination unit (34) for tracking the lesion on the basis of the captured images and the lesion information and determining whether the lesion has disappeared in a captured image or not; and a notification unit (35) which, when the lesion disappearance determination unit (34) has determined that the lesion has disappeared in a captured image, reports the determination result. The notification unit (35) may report detection of a lesion by the lesion information acquisition unit (32) after the passage of a very short time after the detection.
Inventors:
MORI YUICHI (JP)
KUDO SHIN-EI (JP)
MISAWA MASASHI (JP)
MORI KENSAKU (JP)
KUDO SHIN-EI (JP)
MISAWA MASASHI (JP)
MORI KENSAKU (JP)
Application Number:
PCT/JP2019/015925
Publication Date:
October 17, 2019
Filing Date:
April 12, 2019
Export Citation:
Assignee:
UNIV SHOWA (JP)
UNIV NAGOYA NAT UNIV CORP (JP)
UNIV NAGOYA NAT UNIV CORP (JP)
International Classes:
A61B1/045; G02B23/24
Domestic Patent References:
| WO2017033516A1 | 2017-03-02 |
Foreign References:
| JP2011224038A | 2011-11-10 | |||
| JP2010035756A | 2010-02-18 | |||
| JP2013056040A | 2013-03-28 | |||
| JP2017068360A | 2017-04-06 | |||
| JP2006153742A | 2006-06-15 | |||
| JP2011104016A | 2011-06-02 | |||
| JP2018077624A | 2018-05-17 |
Other References:
TRAN, DU ET AL.: "Learning spatiotemporal features with 3d convolutional networks", COMPUTER VISION (ICCV), 2015 IEEE INTERNATIONAL CONFERENCE ON. IEEE, 2015
See also references of EP 3777645A4
See also references of EP 3777645A4
Attorney, Agent or Firm:
CREO LAW & INTELLECTUAL PROPERTY (JP)
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