KR20230107320A - 다양한 의료 영상에 대한 도메인 일반화 시스템 및 방법 - Google Patents

다양한 의료 영상에 대한 도메인 일반화 시스템 및 방법 Download PDF

Info

Publication number
KR20230107320A
KR20230107320A KR1020237019797A KR20237019797A KR20230107320A KR 20230107320 A KR20230107320 A KR 20230107320A KR 1020237019797 A KR1020237019797 A KR 1020237019797A KR 20237019797 A KR20237019797 A KR 20237019797A KR 20230107320 A KR20230107320 A KR 20230107320A
Authority
KR
South Korea
Prior art keywords
image data
image
frames
training
computing device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
KR1020237019797A
Other languages
English (en)
Korean (ko)
Inventor
에드워드 첸
존 갤레오티
하우잇 초세트
Original Assignee
카네기 멜론 유니버시티
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 카네기 멜론 유니버시티 filed Critical 카네기 멜론 유니버시티
Publication of KR20230107320A publication Critical patent/KR20230107320A/ko
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/091—Active learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/094—Adversarial learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Probability & Statistics with Applications (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
KR1020237019797A 2020-11-13 2021-11-15 다양한 의료 영상에 대한 도메인 일반화 시스템 및 방법 Pending KR20230107320A (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US202063113397P 2020-11-13 2020-11-13
US63/113,397 2020-11-13
PCT/US2021/059356 WO2022104194A1 (en) 2020-11-13 2021-11-15 System and method for domain generalization across variations in medical images

Publications (1)

Publication Number Publication Date
KR20230107320A true KR20230107320A (ko) 2023-07-14

Family

ID=81602649

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020237019797A Pending KR20230107320A (ko) 2020-11-13 2021-11-15 다양한 의료 영상에 대한 도메인 일반화 시스템 및 방법

Country Status (7)

Country Link
US (1) US12154319B2 (https=)
JP (1) JP2023552284A (https=)
KR (1) KR20230107320A (https=)
CN (1) CN116601670A (https=)
CA (1) CA3201789A1 (https=)
IL (1) IL302903A (https=)
WO (1) WO2022104194A1 (https=)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20250059151A (ko) 2023-10-24 2025-05-02 연세대학교 산학협력단 도메인 일반화된 분할 모델 학습 방법
WO2025150976A1 (ko) * 2024-01-12 2025-07-17 주식회사 필드큐어 의료영상을 이용한 조직 분할 방법

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20230084967A (ko) * 2021-12-06 2023-06-13 삼성전자주식회사 반도체 공정 이미지 생성기를 훈련시키는 방법
KR102831324B1 (ko) * 2022-12-16 2025-07-07 아주대학교산학협력단 대표 패턴 기반 의료 영상의 투과 상태 품질을 평가하는 방법 및 장치
US20250227198A1 (en) * 2024-01-10 2025-07-10 Beth Israel Deaconess Medical Center, Inc. System and method for image temporal interpolation for dynamic imaging
CN118096567B (zh) * 2024-02-27 2024-10-25 湖北经济学院 基于贝叶斯方法的dbn模型自适应图像去噪方法和系统
CN119477845B (zh) * 2024-11-04 2025-06-13 中国人民解放军南部战区总医院 一种基于跨模态知识融合的心肌梗死定位方法
CN120125827B (zh) * 2025-05-12 2025-07-29 复影(上海)医疗科技有限公司 基于多模态mri的脑肿瘤分割方法及系统

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7418128B2 (en) 2003-07-31 2008-08-26 Microsoft Corporation Elastic distortions for automatic generation of labeled data
US20100165087A1 (en) * 2008-12-31 2010-07-01 Corso Jason J System and method for mosaicing endoscope images captured from within a cavity
GB201603645D0 (en) * 2016-03-02 2016-04-13 Univ Edinburgh Frame selection in medical image data
US10667776B2 (en) 2016-08-11 2020-06-02 Siemens Healthcare Gmbh Classifying views of an angiographic medical imaging system
US10878529B2 (en) * 2017-12-22 2020-12-29 Canon Medical Systems Corporation Registration method and apparatus
JP7062960B2 (ja) * 2018-01-12 2022-05-09 株式会社リコー 情報処理システム、プログラム、情報処理装置及び情報出力方法
US11580381B2 (en) * 2018-08-01 2023-02-14 Siemens Healthcare Gmbh Complex-valued neural network with learnable non-linearities in medical imaging
US10771698B2 (en) * 2018-08-31 2020-09-08 Qualcomm Incorporated Image stabilization using machine learning
KR102015939B1 (ko) * 2018-09-27 2019-08-28 주식회사 크라우드웍스 인공지능 영상 학습을 위한 동영상의 학습 대상 프레임 이미지 샘플링 방법, 장치, 프로그램 및 그 영상 학습 방법
TWI728369B (zh) * 2019-05-24 2021-05-21 臺北醫學大學 人工智慧雲端膚質與皮膚病灶辨識方法及其系統
JP7451443B2 (ja) * 2021-02-09 2024-03-18 キヤノン株式会社 画像処理方法および装置、機械学習モデルの訓練方法および装置、並びにプログラム
DE102021202813A1 (de) * 2021-03-23 2022-09-29 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren, Vorrichtung und Computerprogramm für eine Unsicherheitsbewertung einer Bildklassifikation
US12266157B2 (en) * 2021-04-06 2025-04-01 Nec Corporation Temporal augmentation for training video reasoning system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20250059151A (ko) 2023-10-24 2025-05-02 연세대학교 산학협력단 도메인 일반화된 분할 모델 학습 방법
WO2025150976A1 (ko) * 2024-01-12 2025-07-17 주식회사 필드큐어 의료영상을 이용한 조직 분할 방법

Also Published As

Publication number Publication date
JP2023552284A (ja) 2023-12-15
IL302903A (en) 2023-07-01
CN116601670A (zh) 2023-08-15
US12154319B2 (en) 2024-11-26
WO2022104194A1 (en) 2022-05-19
CA3201789A1 (en) 2022-05-19
US20240029410A1 (en) 2024-01-25

Similar Documents

Publication Publication Date Title
KR20230107320A (ko) 다양한 의료 영상에 대한 도메인 일반화 시스템 및 방법
US12040079B2 (en) Medical image processing apparatus, medical image processing method and computer-readable medium
CN111340682B (zh) 利用深度神经网络将医学图像转换为不同样式图像的方法和系统
US11922601B2 (en) Medical image processing apparatus, medical image processing method and computer-readable medium
US11580381B2 (en) Complex-valued neural network with learnable non-linearities in medical imaging
JP7326010B2 (ja) 超音波診断装置、超音波パラメータ学習装置、超音波診断装置制御プログラム及び超音波パラメータ学習プログラム
KR20210021039A (ko) 이미지 처리 방법, 장치, 전자 기기 및 컴퓨터 판독 가능한 저장 매체
KR101926123B1 (ko) 수술영상 분할방법 및 장치
US20190130565A1 (en) Method of processing medical image, and medical image processing apparatus performing the method
EP2505162A1 (en) Method and apparatus for generating medical image of body organ by using 3-d model
US10929985B2 (en) System and methods for tracking motion of biological cells
CN106133789A (zh) 用于分割感兴趣区域的图像处理装置和方法
JP2022111704A (ja) 画像処理装置、医用画像撮像装置、画像処理方法、およびプログラム
JP2022111705A (ja) 学習装置、画像処理装置、医用画像撮像装置、学習方法およびプログラム
KR102473828B1 (ko) 의료 영상의 랜드마크 위치 설정 가이드 방법, 장치 및 컴퓨터프로그램
CN114511642A (zh) 用于预测虚拟定位片流的方法和系统
US20230046302A1 (en) Blood flow field estimation apparatus, learning apparatus, blood flow field estimation method, and program
EP3815599B1 (en) Ophthalmic image processing device, oct device, ophthalmic image processing program, and mathematical model building method
US20240020839A1 (en) Medical image processing device, medical image processing program, and medical image processing method
JP2020195782A (ja) 眼科画像処理プログラム、およびｏｃｔ装置
CN112908449A (zh) 提供血管图像数据记录
KR102607805B1 (ko) 의료 이미지를 기반으로 하는 접촉 판단 방법 및 이를 수행하는 컴퓨터 프로그램
KR102426925B1 (ko) 3d 시뮬레이션을 활용한 수술로봇의 동작 정보를 획득하는 방법 및 프로그램
US20260041382A1 (en) Method for ascertaining an item of environment information based on an x-ray image, processing facility, endoscopy facility, computer program, and data carrier
Elmekki et al. End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning

Legal Events

Date Code Title Description
PA0105 International application

Patent event date: 20230613

Patent event code: PA01051R01D

Comment text: International Patent Application

PG1501 Laying open of application
A201 Request for examination
PA0201 Request for examination

Patent event code: PA02012R01D

Patent event date: 20241111

Comment text: Request for Examination of Application