METHOD AND DEVICE FOR DECIPHERING LESION FROM CAPSULE ENDOSCOPE IMAGE BY USING NEURAL NETWORK

WIPO Patent Application WO/2019/168280

A1

A neural network learned using a first color space and a second color space is applied such that only a part of images, in which a lesion is suspected to have occurred, can be extracted from among a plurality of captured images from a capsule endoscope image, and the corresponding image can be tagged with information on the lesion. Therefore, a doctor deciphers only a part of the images, extracted by a lesion deciphering device, without deciphering all of the plurality of capsule endoscope images, thereby enabling costs and time to be reduced. Image patterns of frames shown before and after a frame in which the lesion is most clearly seen can be used to decipher the lesion in the frame in which the lesion is most clearly seen. In addition, the frame, which corresponds to the position at which the lesion is suspected is identified by another medical image diagnosis method, among the frames having been received from a capsule endoscope is analyzed so as to enable the deciphering efficiency and accuracy of the lesion to increase.

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MOON CHANG MO (KR)
CHOI JANG HWAN (KR)

PCT/KR2019/001600

September 06, 2019

February 11, 2019

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UNIV EWHA IND COLLABORATION (KR)

G16H50/20; A61B1/04; G06T7/30; G16H30/20

KR20160058812A	2016-05-25
KR20170096924A	2017-08-25
KR20140018748A	2014-02-13
JPH10243247A	1998-09-11
KR20140047277A	2014-04-22

MUHANN PATENT & LAW FIRM (KR)

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