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Title:
NEURAL NETWORK-BASED MEDICAL IMAGE PROCESSING APPARATUS AND METHOD
Document Type and Number:
WIPO Patent Application WO/2024/019232
Kind Code:
A1
Abstract:
A neural network-based medical image processing apparatus according to the present invention, which identifies a small intestine region from a medical image acquired by a capsule endoscope, comprises: a memory equipped with an organ identification algorithm for performing organ identification from the medical image; and a processor for applying the medical image to the organ identification algorithm such that the small intestine region is identified. The organ identification algorithm includes: a convolutional neural network algorithm for identifying an organ included in the medical image as the stomach, the small intestine, and the large intestine to identify the small intestine region therefrom; and a temporal filtering algorithm linked to the convolutional neural network algorithm to reduce images which may be misidentified by the convolutional neural network algorithm.

Inventors:
JEONG HONG YOUNG (KR)
LIM YUN JEONG (KR)
EO TAE JOON (KR)
HWANG DO SIK (KR)
SON GEON HUI (KR)
SHIN YE JEE (KR)
RHA HYEONG SEOP (KR)
AN JI WOONG (KR)
Application Number:
PCT/KR2022/016819
Publication Date:
January 25, 2024
Filing Date:
October 31, 2022
Export Citation:
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Assignee:
UNIV YONSEI IACF (KR)
UNIV DONGGUK IND ACAD COOP (KR)
INTROMEDIC CO LTD (KR)
International Classes:
G16H30/40; A61B1/00; A61B1/04; G06N3/04; G06N3/08; G06T3/40; G06V10/82; G16H30/20; G16H50/20
Foreign References:
KR20220078495A2022-06-10
KR20200038120A2020-04-10
KR101878891B12018-07-16
KR100984395B12010-09-29
Other References:
VAN VLIET SIBREN, SOBIECKI ANDRÉ, TELEA ALEXANDRU: "Joint Brightness and Tone Stabilization of Capsule Endoscopy Videos : ", PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, SCITEPRESS - SCIENCE AND TECHNOLOGY PUBLICATIONS, 1 January 2018 (2018-01-01) - 29 January 2018 (2018-01-29), pages 101 - 112, XP093131691, ISBN: 978-989-7582-90-5, DOI: 10.5220/0006552401010112
Attorney, Agent or Firm:
ENVISION PATENT & LAW FIRM (KR)
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