WO2021015490A3 - 이미지의 특이 영역 분석 방법 및 장치 - Google Patents
이미지의 특이 영역 분석 방법 및 장치 Download PDFInfo
- Publication number
- WO2021015490A3 WO2021015490A3 PCT/KR2020/009398 KR2020009398W WO2021015490A3 WO 2021015490 A3 WO2021015490 A3 WO 2021015490A3 KR 2020009398 W KR2020009398 W KR 2020009398W WO 2021015490 A3 WO2021015490 A3 WO 2021015490A3
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- WO
- WIPO (PCT)
- Prior art keywords
- image
- specific area
- attention map
- generating
- generate
- Prior art date
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
Abstract
본 발명의 일 실시예에 따른 이미지의 특이 영역 분석 방법은, 입력되는 이미지와 관련된 적어도 하나의 정상 이미지를 생성하도록 학습된 제1 기계학습 모델에 비정상 이미지를 입력하여, 상기 비정상 이미지와 관련된 복수의 정상 이미지를 생성하는 단계와, 각각의 상기 복수의 정상 이미지와 상기 비정상 이미지와의 차이를 나타내는 특이 영역을 포함하는 최초 어텐션맵(attention map)을 생성하는 단계와, 오류를 제거하도록 학습된 제2 기계학습 모델을 이용하여 상기 최초 어텐션맵 중 오류인 최초 어텐션맵을 제거함에 기초하여, 최종 어텐션맵을 생성하는 단계를 포함할 수 있다.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020190087669A KR102279160B1 (ko) | 2019-07-19 | 2019-07-19 | 이미지의 특이 영역 분석 방법 및 장치 |
KR10-2019-0087669 | 2019-07-19 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2021015490A2 WO2021015490A2 (ko) | 2021-01-28 |
WO2021015490A3 true WO2021015490A3 (ko) | 2021-03-18 |
Family
ID=74193020
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/KR2020/009398 WO2021015490A2 (ko) | 2019-07-19 | 2020-07-16 | 이미지의 특이 영역 분석 방법 및 장치 |
Country Status (2)
Country | Link |
---|---|
KR (1) | KR102279160B1 (ko) |
WO (1) | WO2021015490A2 (ko) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102317992B1 (ko) * | 2021-03-26 | 2021-10-28 | 주식회사 트윔 | 뉴럴 네트워크를 이용한 제품 검사 방법, 장치 및 제품 검사 장치 학습 방법 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20150098119A (ko) * | 2014-02-19 | 2015-08-27 | 삼성전자주식회사 | 의료 영상 내 거짓양성 병변후보 제거 시스템 및 방법 |
WO2018170401A1 (en) * | 2017-03-16 | 2018-09-20 | Siemens Aktiengesellschaft | Visual localization in images using weakly supervised neural network |
JP2018175343A (ja) * | 2017-04-12 | 2018-11-15 | 富士フイルム株式会社 | 医用画像処理装置および方法並びにプログラム |
US20190180441A1 (en) * | 2016-08-18 | 2019-06-13 | Google Llc | Processing fundus images using machine learning models |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100519768B1 (ko) | 2002-10-14 | 2005-10-07 | 삼성전자주식회사 | 반복매칭을 이용한 영상 검색방법 및 장치 |
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2019
- 2019-07-19 KR KR1020190087669A patent/KR102279160B1/ko active IP Right Grant
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2020
- 2020-07-16 WO PCT/KR2020/009398 patent/WO2021015490A2/ko active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20150098119A (ko) * | 2014-02-19 | 2015-08-27 | 삼성전자주식회사 | 의료 영상 내 거짓양성 병변후보 제거 시스템 및 방법 |
US20190180441A1 (en) * | 2016-08-18 | 2019-06-13 | Google Llc | Processing fundus images using machine learning models |
WO2018170401A1 (en) * | 2017-03-16 | 2018-09-20 | Siemens Aktiengesellschaft | Visual localization in images using weakly supervised neural network |
JP2018175343A (ja) * | 2017-04-12 | 2018-11-15 | 富士フイルム株式会社 | 医用画像処理装置および方法並びにプログラム |
Non-Patent Citations (1)
Title |
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SUN LIYAN; WANG JIEXIANG; HUANG YUE; DING XINGHAO; GREENSPAN HAYIT; PAISLEY JOHN: "An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection", IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, IEEE, PISCATAWAY, NJ, USA, vol. 24, no. 8, 3 January 2020 (2020-01-03), Piscataway, NJ, USA, pages 2303 - 2314, XP011802597, ISSN: 2168-2194, DOI: 10.1109/JBHI.2020.2964016 * |
Also Published As
Publication number | Publication date |
---|---|
WO2021015490A2 (ko) | 2021-01-28 |
KR102279160B1 (ko) | 2021-07-20 |
KR20210010770A (ko) | 2021-01-28 |
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