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Title:
GALLBLADDER POLYP DETERMINATION SYSTEM AND METHOD
Document Type and Number:
WIPO Patent Application WO/2023/140449
Kind Code:
A1
Abstract:
According to embodiments of the present invention, a gallbladder polyp determination system may be provided, the gallbladder polyp determination system comprising: a collection unit which collects abdominal ultrasound images of gallbladder polyps labeled with true polyps or pseudopolyps; a data generation unit which generates, on the basis of the abdominal ultrasound images, input data to be input to a gallbladder polyp classification model, which is an ensemble model including n prediction models (where n is an integer of 2 or more); a model training unit which trains the gallbladder polyp classification model by using the input data; and a classification unit which classifies an abdominal ultrasound image of a new gallbladder polyp as a true polyp or a pseudopolyp by using the gallbladder polyp classification model.

Inventors:
LEE IN SEOK (KR)
CHOI YOUNG HOON (KR)
LEE SEUNG CHUL (KR)
KIM TAE WAN (KR)
Application Number:
PCT/KR2022/012130
Publication Date:
July 27, 2023
Filing Date:
August 12, 2022
Export Citation:
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Assignee:
CATHOLIC UNIV KOREA IND ACADEMIC COOPERATION FOUNDATION (KR)
POSTECH RES & BUSINESS DEV FOUND (KR)
International Classes:
A61B8/08; G06T7/00; G16H30/40; G16H50/20
Foreign References:
KR102344585B12021-12-30
Other References:
JEONG YOUNBEOM, KIM JUNG HOON, CHAE HEE-DONG, PARK SAE-JIN, BAE JAE SEOK, JOO IJIN, HAN JOON KOO: "Deep learning-based decision support system for the diagnosis of neoplastic gallbladder polyps on ultrasonography: Preliminary results", SCIENTIFIC REPORTS, NATURE PUBLISHING GROUP, US, vol. 10, no. 1, 1 December 2020 (2020-12-01), US , pages 7700 - 10, XP055888953, ISSN: 2045-2322, DOI: 10.1038/s41598-020-64205-y
DR KANG: "Postech Develops a Deep Learning Model with 90% Accuracy in Diagnosing Malignant Tumors", NEWSIS CO., LTD., 18 January 2022 (2022-01-18), XP009548022, Retrieved from the Internet
LIEW WIN SHENG; TANG TONG BOON; LIN CHENG-HUNG; LU CHENG-KAI: "Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches", COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE., ELSEVIER, AMSTERDAM, NL, vol. 206, 14 April 2021 (2021-04-14), NL , XP086613999, ISSN: 0169-2607, DOI: 10.1016/j.cmpb.2021.106114
JANG SUNG ILL, KIM YOUNG JAE, KIM EUI JOO, KANG HUAPYONG, SHON SEUNG JIN, SEOL YU JIN, LEE DONG KI, KIM KWANG GI, CHO JAE HEE: "Diagnostic performance of endoscopic ultrasound‐artificial intelligence using deep learning analysis of gallbladder polypoid lesions", JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 6TH INTERNATIONAL SYMPOSIUM ON ALCOHOLIC LIVER AND PANCREATIC DISEASES AND CIRRHOSIS, 20‐21 OCTOBER 2011, FUKUOKA, JAPAN, HOBOKEN, USA, vol. 36, no. 12, 1 December 2021 (2021-12-01), Hoboken, USA, pages 3548 - 3555, XP093079800, ISSN: 0815-9319, DOI: 10.1111/jgh.15673
KIM TAEWAN, CHOI YOUNG HOON, CHOI JIN HO, LEE SANG HYUB, LEE SEUNGCHUL, LEE IN SEOK: "Gallbladder Polyp Classification in Ultrasound Images Using an Ensemble Convolutional Neural Network Model", JOURNAL OF CLINICAL MEDICINE, vol. 10, no. 16, pages 3585, XP093079803, DOI: 10.3390/jcm10163585
Attorney, Agent or Firm:
YUIL HIGHEST INTERNATIONAL PATENT AND LAW FIRM (KR)
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