JP2023552284A - 医療画像における変動にわたるドメイン一般化のシステム及び方法 - Google Patents
医療画像における変動にわたるドメイン一般化のシステム及び方法 Download PDFInfo
- Publication number
- JP2023552284A JP2023552284A JP2023528749A JP2023528749A JP2023552284A JP 2023552284 A JP2023552284 A JP 2023552284A JP 2023528749 A JP2023528749 A JP 2023528749A JP 2023528749 A JP2023528749 A JP 2023528749A JP 2023552284 A JP2023552284 A JP 2023552284A
- Authority
- JP
- Japan
- Prior art keywords
- image data
- images
- training
- frames
- captured image
- 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
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)
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 (2)
| Publication Number | Publication Date |
|---|---|
| JP2023552284A true JP2023552284A (ja) | 2023-12-15 |
| JP2023552284A5 JP2023552284A5 (https=) | 2024-11-22 |
Family
ID=81602649
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023528749A Pending JP2023552284A (ja) | 2020-11-13 | 2021-11-15 | 医療画像における変動にわたるドメイン一般化のシステム及び方法 |
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=) |
Families Citing this family (8)
| 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 |
| KR20250059151A (ko) | 2023-10-24 | 2025-05-02 | 연세대학교 산학협력단 | 도메인 일반화된 분할 모델 학습 방법 |
| US20250227198A1 (en) * | 2024-01-10 | 2025-07-10 | Beth Israel Deaconess Medical Center, Inc. | System and method for image temporal interpolation for dynamic imaging |
| WO2025150976A1 (ko) * | 2024-01-12 | 2025-07-17 | 주식회사 필드큐어 | 의료영상을 이용한 조직 분할 방법 |
| 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 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019114262A (ja) * | 2017-12-22 | 2019-07-11 | キヤノンメディカルシステムズ株式会社 | 医用画像処理装置、医用画像処理プログラム、学習装置及び学習プログラム |
| JP2019124987A (ja) * | 2018-01-12 | 2019-07-25 | 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 |
| JP2020052999A (ja) * | 2018-09-27 | 2020-04-02 | クラウドワークス インコーポレイテッドCrowdWorks, Inc. | 人工知能映像学習のための動画の学習対象フレームイメージサンプリング方法、装置、プログラム及びその映像学習方法 |
Family Cites Families (10)
| 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 |
| 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 |
| 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 |
-
2021
- 2021-11-15 IL IL302903A patent/IL302903A/en unknown
- 2021-11-15 CA CA3201789A patent/CA3201789A1/en active Pending
- 2021-11-15 JP JP2023528749A patent/JP2023552284A/ja active Pending
- 2021-11-15 KR KR1020237019797A patent/KR20230107320A/ko active Pending
- 2021-11-15 CN CN202180078932.6A patent/CN116601670A/zh active Pending
- 2021-11-15 US US18/036,737 patent/US12154319B2/en active Active
- 2021-11-15 WO PCT/US2021/059356 patent/WO2022104194A1/en not_active Ceased
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019114262A (ja) * | 2017-12-22 | 2019-07-11 | キヤノンメディカルシステムズ株式会社 | 医用画像処理装置、医用画像処理プログラム、学習装置及び学習プログラム |
| JP2019124987A (ja) * | 2018-01-12 | 2019-07-25 | 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 |
| JP2020052999A (ja) * | 2018-09-27 | 2020-04-02 | クラウドワークス インコーポレイテッドCrowdWorks, Inc. | 人工知能映像学習のための動画の学習対象フレームイメージサンプリング方法、装置、プログラム及びその映像学習方法 |
Non-Patent Citations (3)
| Title |
|---|
| SRIDAR PRADEEBA ET AL.: ""An Automated Framework for Large Scale Retrospective Analysis of Ultrasound Images"", IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE[ONLINE], vol. 7, JPN6025031499, 2019, pages 1 - 9, ISSN: 0005657335 * |
| ZHAOTAO WU ET AL.: "Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation", ARXIV.ORG[ONLINE], JPN7025003442, 31 January 2020 (2020-01-31), ISSN: 0005781606 * |
| 清水洋杜 外2名: "深層学習を用いた動物の姿勢推定", 情報処理学会 研究報告 コンピュータグラフィックスとビジュアル情報学(CG) 2020−CG−177, JPN6025031498, 10 March 2020 (2020-03-10), pages 1 - 8, ISSN: 0005781605 * |
Also Published As
| Publication number | Publication date |
|---|---|
| KR20230107320A (ko) | 2023-07-14 |
| 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 |
|---|---|---|
| JP2023552284A (ja) | 医療画像における変動にわたるドメイン一般化のシステム及び方法 | |
| Islam et al. | Real-time instrument segmentation in robotic surgery using auxiliary supervised deep adversarial learning | |
| US11580381B2 (en) | Complex-valued neural network with learnable non-linearities in medical imaging | |
| EP3611661A1 (en) | Magnetic resonance imaging quality classification based on deep machine-learning to account for less training data | |
| JP2022505498A (ja) | 画像処理方法、装置、電子機器及びコンピュータ読取可能記憶媒体 | |
| JP7768136B2 (ja) | モデルへの入力インスタンスの分布外検出 | |
| CN113272869A (zh) | 医学成像中从定位片进行三维形状重构 | |
| EP3152736A2 (en) | Landmark detection with spatial and temporal constraints in medical imaging | |
| CN106133789B (zh) | 用于分割感兴趣区域的图像处理装置和方法 | |
| JP2022536731A (ja) | 画像処理のための深層学習モデル | |
| WO2018183751A1 (en) | Determining anthropometric measurements of a nonstationary subject | |
| CN115298702A (zh) | 用于哺乳动物迁移学习的系统和方法 | |
| CN113574610A (zh) | 用于成像的系统和方法 | |
| CN113614781A (zh) | 用于标识图像中物体的系统和方法 | |
| CN114612526B (zh) | 一种关节点追踪方法、帕金森辅助诊断方法及装置 | |
| JP2021030048A (ja) | 経路決定方法、医用画像処理装置、モデル学習方法及びモデル学習装置 | |
| 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 | |
| US20250380926A1 (en) | Blood vessel detection method, and computer program performing same | |
| EP3815599B1 (en) | Ophthalmic image processing device, oct device, ophthalmic image processing program, and mathematical model building method | |
| JP2020195782A (ja) | 眼科画像処理プログラム、およびoct装置 | |
| Otte et al. | Towards force sensing based on instrument-tissue interaction | |
| KR102725555B1 (ko) | 의료 이미지를 기반으로 하는 접촉 판단 방법 및 이를 수행하는 컴퓨터 프로그램 | |
| KR102895516B1 (ko) | 혈관 이미지 생성 방법 및 전자 장치 | |
| US12019133B2 (en) | Systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography data using a trained artificial neural network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A529 | Written submission of copy of amendment under article 34 pct |
Free format text: JAPANESE INTERMEDIATE CODE: A529 Effective date: 20230711 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20241113 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20241113 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20250724 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20250805 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20260127 |