Title:
ENDOSCOPIC APPARATUS AND METHOD FOR DIAGNOSING GASTRIC LESION ON BASIS OF GASTROSCOPY IMAGE OBTAINED IN REAL TIME
Document Type and Number:
WIPO Patent Application WO/2020/071678
Kind Code:
A3
Abstract:
The present invention relates to an endoscopic apparatus for diagnosing a lesion by using a gastroscopy image obtained in real time. The endoscopic apparatus may comprise: a body unit inserted into a subject's body; an operating unit disposed at the rear end of the body unit to operate the body unit on the basis of user input information; a lesion diagnosing unit for establishing an artificial neural network system through learning in which a plurality of gastric lesion images are input and items on a gastric lesion diagnosis result are output, for generating a new dataset by linking a gastroscopy image to patient information, and for performing gastric lesion diagnosis through the established artificial neural network; and a display unit for displaying a diagnosis result of the lesion diagnosing unit and a gastroscopy image.
Inventors:
CHO BUM-JOO (KR)
BANG CHANG SEOK (KR)
PARK SE WOO (KR)
LEE JAE-JUN (KR)
CHOI JAE-HO (KR)
BANG CHANG SEOK (KR)
PARK SE WOO (KR)
LEE JAE-JUN (KR)
CHOI JAE-HO (KR)
Application Number:
PCT/KR2019/012449
Publication Date:
May 28, 2020
Filing Date:
September 25, 2019
Export Citation:
Assignee:
UNIV HALLYM IACF (KR)
International Classes:
A61B1/00; G16H50/20; A61B1/04; A61B5/00; G16H30/40
Foreign References:
| KR20140117218A | 2014-10-07 | |||
| KR101857624B1 | 2018-05-14 | |||
| JP2011000173A | 2011-01-06 | |||
| KR20170061222A | 2017-06-05 |
Other References:
PAI, P.: "Data Augmentation Techniques in CNN using Tensorflow", 25 October 2017 (2017-10-25), pages 1 - 12, XP055711057, Retrieved from the Internet
Attorney, Agent or Firm:
KIM, Nam-hyuk (KR)
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