JP7645052B2 - 画像分析の方法及びシステム - Google Patents
画像分析の方法及びシステム Download PDFInfo
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- JP7645052B2 JP7645052B2 JP2020101124A JP2020101124A JP7645052B2 JP 7645052 B2 JP7645052 B2 JP 7645052B2 JP 2020101124 A JP2020101124 A JP 2020101124A JP 2020101124 A JP2020101124 A JP 2020101124A JP 7645052 B2 JP7645052 B2 JP 7645052B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- 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]
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- 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
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- 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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30008—Bone
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30008—Bone
- G06T2207/30012—Spine; Backbone
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- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Quality & Reliability (AREA)
- Radiology & Medical Imaging (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Operations Research (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Image Analysis (AREA)
- Apparatus For Radiation Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2025007003A JP2025072403A (ja) | 2019-06-21 | 2025-01-17 | 画像分析の方法及びシステム |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/448,460 US11087463B2 (en) | 2019-06-21 | 2019-06-21 | Image analysis method and system for assessing bone fragility |
| US16/448,460 | 2019-06-21 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2025007003A Division JP2025072403A (ja) | 2019-06-21 | 2025-01-17 | 画像分析の方法及びシステム |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2021000442A JP2021000442A (ja) | 2021-01-07 |
| JP7645052B2 true JP7645052B2 (ja) | 2025-03-13 |
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Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020101124A Active JP7645052B2 (ja) | 2019-06-21 | 2020-06-10 | 画像分析の方法及びシステム |
| JP2025007003A Pending JP2025072403A (ja) | 2019-06-21 | 2025-01-17 | 画像分析の方法及びシステム |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2025007003A Pending JP2025072403A (ja) | 2019-06-21 | 2025-01-17 | 画像分析の方法及びシステム |
Country Status (5)
| Country | Link |
|---|---|
| US (3) | US11087463B2 (https=) |
| EP (2) | EP3754599B8 (https=) |
| JP (2) | JP7645052B2 (https=) |
| CN (1) | CN112116552A (https=) |
| ES (1) | ES2980813T3 (https=) |
Families Citing this family (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018125928A1 (en) | 2016-12-29 | 2018-07-05 | DeepScale, Inc. | Multi-channel sensor simulation for autonomous control systems |
| WO2018176000A1 (en) | 2017-03-23 | 2018-09-27 | DeepScale, Inc. | Data synthesis for autonomous control systems |
| US11157441B2 (en) | 2017-07-24 | 2021-10-26 | Tesla, Inc. | Computational array microprocessor system using non-consecutive data formatting |
| US11409692B2 (en) | 2017-07-24 | 2022-08-09 | Tesla, Inc. | Vector computational unit |
| US11893393B2 (en) | 2017-07-24 | 2024-02-06 | Tesla, Inc. | Computational array microprocessor system with hardware arbiter managing memory requests |
| US10671349B2 (en) | 2017-07-24 | 2020-06-02 | Tesla, Inc. | Accelerated mathematical engine |
| JP7224757B2 (ja) * | 2017-10-13 | 2023-02-20 | キヤノン株式会社 | 診断支援装置、情報処理方法、診断支援システム及びプログラム |
| US12307350B2 (en) | 2018-01-04 | 2025-05-20 | Tesla, Inc. | Systems and methods for hardware-based pooling |
| US11561791B2 (en) | 2018-02-01 | 2023-01-24 | Tesla, Inc. | Vector computational unit receiving data elements in parallel from a last row of a computational array |
| US11215999B2 (en) | 2018-06-20 | 2022-01-04 | Tesla, Inc. | Data pipeline and deep learning system for autonomous driving |
| US11361457B2 (en) | 2018-07-20 | 2022-06-14 | Tesla, Inc. | Annotation cross-labeling for autonomous control systems |
| US11636333B2 (en) | 2018-07-26 | 2023-04-25 | Tesla, Inc. | Optimizing neural network structures for embedded systems |
| US11562231B2 (en) | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
| KR20250078625A (ko) | 2018-10-11 | 2025-06-02 | 테슬라, 인크. | 증강 데이터로 기계 모델을 훈련하기 위한 시스템 및 방법 |
| US11196678B2 (en) | 2018-10-25 | 2021-12-07 | Tesla, Inc. | QOS manager for system on a chip communications |
| US11816585B2 (en) | 2018-12-03 | 2023-11-14 | Tesla, Inc. | Machine learning models operating at different frequencies for autonomous vehicles |
| US11537811B2 (en) | 2018-12-04 | 2022-12-27 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
| US11610117B2 (en) | 2018-12-27 | 2023-03-21 | Tesla, Inc. | System and method for adapting a neural network model on a hardware platform |
| US10997461B2 (en) | 2019-02-01 | 2021-05-04 | Tesla, Inc. | Generating ground truth for machine learning from time series elements |
| US11150664B2 (en) | 2019-02-01 | 2021-10-19 | Tesla, Inc. | Predicting three-dimensional features for autonomous driving |
| US11567514B2 (en) | 2019-02-11 | 2023-01-31 | Tesla, Inc. | Autonomous and user controlled vehicle summon to a target |
| US10956755B2 (en) | 2019-02-19 | 2021-03-23 | Tesla, Inc. | Estimating object properties using visual image data |
| EP4078313B1 (en) * | 2019-12-20 | 2024-10-16 | Basf Se | Optimised powder production |
| WO2021153592A1 (ja) * | 2020-01-29 | 2021-08-05 | キヤノン株式会社 | 画像処理装置、放射線撮影装置、画像処理方法及びプログラム |
| US20210304896A1 (en) * | 2020-03-31 | 2021-09-30 | Shanghai United Imaging Intelligence Co., Ltd. | Systems and methods for medical diagnosis |
| KR102321427B1 (ko) * | 2021-01-20 | 2021-11-04 | 메디컬아이피 주식회사 | 의료영상을 이용한 인체성분 분석 방법 및 그 장치 |
| CN112951412A (zh) * | 2021-03-11 | 2021-06-11 | 深圳大学 | 一种辅助诊断方法及其应用 |
| US12094114B2 (en) * | 2021-03-24 | 2024-09-17 | Ping An Technology (Shenzhen) Co., Ltd. | Method, system, and storage medium for opportunistic screening of osteoporosis using plain film chest X-ray (CXR) |
| CN115120262B (zh) * | 2021-03-24 | 2025-05-06 | 陈海冰 | 基于超声图像的识别装置 |
| CN113223699B (zh) * | 2021-04-01 | 2024-10-18 | 复旦大学附属华山医院 | 构建腰椎骨量减少和骨质疏松筛查模型的方法和系统 |
| AU2022252500A1 (en) * | 2021-04-02 | 2023-10-19 | Anode IP LLC | Systems and methods to process electronic medical images for diagnostic or interventional use |
| CN117355842A (zh) * | 2021-04-15 | 2024-01-05 | 百可德罗德公司 | 用于保护深度图像分类器的系统和方法 |
| WO2023023265A1 (en) | 2021-08-19 | 2023-02-23 | Tesla, Inc. | Vision-based system training with simulated content |
| US12462575B2 (en) | 2021-08-19 | 2025-11-04 | Tesla, Inc. | Vision-based machine learning model for autonomous driving with adjustable virtual camera |
| JPWO2023054287A1 (https=) * | 2021-10-01 | 2023-04-06 | ||
| US12014807B2 (en) * | 2021-12-10 | 2024-06-18 | Merative Us L.P. | Automated report generation using artificial intelligence algorithms |
| CN115629072A (zh) * | 2022-10-28 | 2023-01-20 | 新乡医学院 | 一种骨髓涂片图像分析诊断方法及病理切片扫描仪装置 |
| WO2024225785A1 (ko) * | 2023-04-25 | 2024-10-31 | 주식회사 메디컬에이아이 | 생체 정보를 식별하는 사용자 맞춤형 신경망 모델을 획득하는 방법, 프로그램 및 장치 |
| GB2630963A (en) * | 2023-06-15 | 2024-12-18 | Intelligent Ultrasound Ltd | Apparatus for analysing medical images |
| WO2025034749A2 (en) * | 2023-08-07 | 2025-02-13 | Mandel Shlomo | Automated musculoskeletal disorder diagnosis and therapy recommendation |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002523204A (ja) | 1998-08-28 | 2002-07-30 | アーチ・デベロップメント・コーポレーション | 骨質量・構造のコンピュータ依拠分析方法および装置 |
| JP2007524461A (ja) | 2003-06-25 | 2007-08-30 | シーメンス メディカル ソリューションズ ユーエスエー インコーポレイテッド | 乳房撮像の自動診断及び決定支援システム及び方法 |
| JP2013504341A (ja) | 2009-09-11 | 2013-02-07 | ストラックスコープ ピーティワイ リミテッド | 解析方法及び解析システム |
| US20180247020A1 (en) | 2017-02-24 | 2018-08-30 | Siemens Healthcare Gmbh | Personalized Assessment of Bone Health |
| US20190027252A1 (en) | 2016-07-12 | 2019-01-24 | Mindshare Medical, Inc. | Medical analytics system |
| JP2019033966A (ja) | 2017-08-18 | 2019-03-07 | コニカミノルタ株式会社 | 画像処理装置、画像処理方法、及び画像処理プログラム |
| US20190139641A1 (en) | 2017-11-03 | 2019-05-09 | Siemens Healthcare Gmbh | Artificial intelligence for physiological quantification in medical imaging |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US906432A (en) | 1908-02-01 | 1908-12-08 | Charles Elmer Jackson | Reamer. |
| EP1198771A4 (en) | 1999-05-26 | 2005-01-05 | Health Hero Network Inc | CONVERTING UNSTRUCTURED INFORMATION TO STRUCTURED INFORMATION |
| US20040106868A1 (en) * | 2002-09-16 | 2004-06-03 | Siau-Way Liew | Novel imaging markers in musculoskeletal disease |
| WO2014070753A2 (en) | 2012-10-29 | 2014-05-08 | Health Fidelity, Inc. | Methods for processing clinical information |
| US9265441B2 (en) | 2013-07-12 | 2016-02-23 | Siemens Aktiengesellschaft | Assessment of traumatic brain injury |
| US10098913B2 (en) * | 2013-09-11 | 2018-10-16 | University Of Southern California | Composition of stem cells having highly expressed FAS ligand |
| US10593035B2 (en) | 2015-03-18 | 2020-03-17 | University Of South Florida | Image-based automated measurement model to predict pelvic organ prolapse |
| US10111632B2 (en) | 2017-01-31 | 2018-10-30 | Siemens Healthcare Gmbh | System and method for breast cancer detection in X-ray images |
| CA3081643A1 (en) | 2017-11-06 | 2019-05-09 | University Health Network | Platform, device and process for annotation and classification of tissue specimens using convolutional neural network |
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2019
- 2019-06-21 US US16/448,460 patent/US11087463B2/en active Active
-
2020
- 2020-05-28 ES ES20177205T patent/ES2980813T3/es active Active
- 2020-05-28 EP EP20177205.0A patent/EP3754599B8/en active Active
- 2020-05-28 EP EP24150725.0A patent/EP4345744A3/en active Pending
- 2020-06-10 JP JP2020101124A patent/JP7645052B2/ja active Active
- 2020-06-19 CN CN202010564495.6A patent/CN112116552A/zh active Pending
-
2021
- 2021-07-08 US US17/370,455 patent/US11727562B2/en active Active
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2023
- 2023-06-26 US US18/214,104 patent/US20230351588A1/en active Pending
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2025
- 2025-01-17 JP JP2025007003A patent/JP2025072403A/ja active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002523204A (ja) | 1998-08-28 | 2002-07-30 | アーチ・デベロップメント・コーポレーション | 骨質量・構造のコンピュータ依拠分析方法および装置 |
| JP2007524461A (ja) | 2003-06-25 | 2007-08-30 | シーメンス メディカル ソリューションズ ユーエスエー インコーポレイテッド | 乳房撮像の自動診断及び決定支援システム及び方法 |
| JP2013504341A (ja) | 2009-09-11 | 2013-02-07 | ストラックスコープ ピーティワイ リミテッド | 解析方法及び解析システム |
| US20190027252A1 (en) | 2016-07-12 | 2019-01-24 | Mindshare Medical, Inc. | Medical analytics system |
| US20180247020A1 (en) | 2017-02-24 | 2018-08-30 | Siemens Healthcare Gmbh | Personalized Assessment of Bone Health |
| JP2019033966A (ja) | 2017-08-18 | 2019-03-07 | コニカミノルタ株式会社 | 画像処理装置、画像処理方法、及び画像処理プログラム |
| US20190139641A1 (en) | 2017-11-03 | 2019-05-09 | Siemens Healthcare Gmbh | Artificial intelligence for physiological quantification in medical imaging |
Also Published As
| Publication number | Publication date |
|---|---|
| US20230351588A1 (en) | 2023-11-02 |
| ES2980813T3 (es) | 2024-10-03 |
| US20210334968A1 (en) | 2021-10-28 |
| EP4345744A2 (en) | 2024-04-03 |
| JP2025072403A (ja) | 2025-05-09 |
| JP2021000442A (ja) | 2021-01-07 |
| EP3754599A1 (en) | 2020-12-23 |
| US20200402226A1 (en) | 2020-12-24 |
| CN112116552A (zh) | 2020-12-22 |
| EP3754599C0 (en) | 2024-05-22 |
| US11727562B2 (en) | 2023-08-15 |
| EP3754599B1 (en) | 2024-05-22 |
| EP3754599B8 (en) | 2024-10-30 |
| EP4345744A3 (en) | 2024-06-12 |
| US11087463B2 (en) | 2021-08-10 |
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