CN115943426A - 用于标识医学图像集中的异常图像的方法和系统 - Google Patents
用于标识医学图像集中的异常图像的方法和系统 Download PDFInfo
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- CN115943426A CN115943426A CN202180033722.5A CN202180033722A CN115943426A CN 115943426 A CN115943426 A CN 115943426A CN 202180033722 A CN202180033722 A CN 202180033722A CN 115943426 A CN115943426 A CN 115943426A
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- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4053—Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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- 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
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- 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
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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 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
- G06T2207/10116—X-ray image
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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
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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
- G06T2207/30061—Lung
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- 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
- G06V2201/031—Recognition of patterns in medical or anatomical images of internal organs
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- Public Health (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Pathology (AREA)
- Data Mining & Analysis (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP20173286.4 | 2020-05-06 | ||
| EP20173286.4A EP3907696A1 (en) | 2020-05-06 | 2020-05-06 | Method and system for identifying abnormal images in a set of medical images |
| PCT/EP2021/061525 WO2021224162A1 (en) | 2020-05-06 | 2021-05-03 | Method and system for identifying abnormal images in a set of medical images |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115943426A true CN115943426A (zh) | 2023-04-07 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180033722.5A Pending CN115943426A (zh) | 2020-05-06 | 2021-05-03 | 用于标识医学图像集中的异常图像的方法和系统 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12450736B2 (https=) |
| EP (2) | EP3907696A1 (https=) |
| JP (1) | JP7726218B2 (https=) |
| CN (1) | CN115943426A (https=) |
| WO (1) | WO2021224162A1 (https=) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3786880A1 (en) * | 2019-08-29 | 2021-03-03 | Koninklijke Philips N.V. | Methods for analyzing and reducing inter/intra site variability using reduced reference images and improving radiologist diagnostic accuracy and consistency |
| CN114529544B (zh) * | 2022-04-22 | 2022-07-19 | 武汉大学 | 医学图像分析方法、计算机设备及存储介质 |
| CN118447280B (zh) * | 2024-05-17 | 2025-02-11 | 华中科技大学 | 一种考虑多层级特征的多类别点云异常检测方法及系统 |
| WO2025240997A1 (en) * | 2024-05-19 | 2025-11-27 | 4DMedical Limited | Method and system for detecting lung disease |
Citations (7)
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| CN104520897A (zh) * | 2012-08-06 | 2015-04-15 | 皇家飞利浦有限公司 | 图像噪声降低和/或图像分辨率提高 |
| CN104933711A (zh) * | 2015-06-10 | 2015-09-23 | 南通大学 | 一种肿瘤病理图像自动快速分割方法 |
| US20180315193A1 (en) * | 2017-04-27 | 2018-11-01 | Retinopathy Answer Limited | System and method for automated funduscopic image analysis |
| CN109101994A (zh) * | 2018-07-05 | 2018-12-28 | 北京致远慧图科技有限公司 | 一种卷积神经网络迁移方法、装置、电子设备及存储介质 |
| CN109271934A (zh) * | 2018-06-19 | 2019-01-25 | Kpit技术有限责任公司 | 用于交通标志识别的系统和方法 |
| CN110472676A (zh) * | 2019-08-05 | 2019-11-19 | 首都医科大学附属北京朝阳医院 | 基于深度神经网络的胃早癌组织学图像分类系统 |
| CN110504029A (zh) * | 2019-08-29 | 2019-11-26 | 腾讯医疗健康(深圳)有限公司 | 一种医学图像处理方法、医学图像识别方法及装置 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US7054473B1 (en) | 2001-11-21 | 2006-05-30 | R2 Technology, Inc. | Method and apparatus for an improved computer aided diagnosis system |
| US20050207630A1 (en) * | 2002-02-15 | 2005-09-22 | The Regents Of The University Of Michigan Technology Management Office | Lung nodule detection and classification |
| JP6159489B2 (ja) | 2014-04-11 | 2017-07-05 | ペキン センスタイム テクノロジー ディベロップメント カンパニー リミテッド | 顔認証方法およびシステム |
| JP6510189B2 (ja) * | 2014-06-23 | 2019-05-08 | 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 |
| US9536293B2 (en) | 2014-07-30 | 2017-01-03 | Adobe Systems Incorporated | Image assessment using deep convolutional neural networks |
| US10984902B2 (en) * | 2018-09-28 | 2021-04-20 | Varian Medical Systems International Ag | Methods and systems for adaptive radiotherapy treatment planning using deep learning engines |
| US10929708B2 (en) * | 2018-12-10 | 2021-02-23 | International Business Machines Corporation | Deep learning network for salient region identification in images |
| CN110209859B (zh) * | 2019-05-10 | 2022-12-27 | 腾讯科技(深圳)有限公司 | 地点识别及其模型训练的方法和装置以及电子设备 |
| US11776117B2 (en) * | 2020-07-22 | 2023-10-03 | Siemens Healthcare Gmbh | Machine learning from noisy labels for abnormality assessment in medical imaging |
| EP4060609A1 (en) * | 2021-03-18 | 2022-09-21 | Koninklijke Philips N.V. | Detecting abnormalities in an x-ray image |
| US11797647B2 (en) * | 2021-03-30 | 2023-10-24 | Nano-X Ai Ltd. | Two stage detector for identification of a visual finding in a medical image |
| KR102650919B1 (ko) * | 2021-10-27 | 2024-03-22 | 사회복지법인 삼성생명공익재단 | 패치 단위 대조 학습 모델을 이용한 의료 영상 분석 방법 및 분석 장치 |
| EP4235566A1 (en) * | 2022-02-25 | 2023-08-30 | Siemens Healthcare GmbH | Method and system for determining a change of an anatomical abnormality depicted in medical image data |
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2020
- 2020-05-06 EP EP20173286.4A patent/EP3907696A1/en not_active Withdrawn
-
2021
- 2021-05-03 US US17/922,809 patent/US12450736B2/en active Active
- 2021-05-03 JP JP2022565566A patent/JP7726218B2/ja active Active
- 2021-05-03 EP EP21722236.3A patent/EP4147197B1/en active Active
- 2021-05-03 CN CN202180033722.5A patent/CN115943426A/zh active Pending
- 2021-05-03 WO PCT/EP2021/061525 patent/WO2021224162A1/en not_active Ceased
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| CN104520897A (zh) * | 2012-08-06 | 2015-04-15 | 皇家飞利浦有限公司 | 图像噪声降低和/或图像分辨率提高 |
| CN104933711A (zh) * | 2015-06-10 | 2015-09-23 | 南通大学 | 一种肿瘤病理图像自动快速分割方法 |
| US20180315193A1 (en) * | 2017-04-27 | 2018-11-01 | Retinopathy Answer Limited | System and method for automated funduscopic image analysis |
| CN109271934A (zh) * | 2018-06-19 | 2019-01-25 | Kpit技术有限责任公司 | 用于交通标志识别的系统和方法 |
| CN109101994A (zh) * | 2018-07-05 | 2018-12-28 | 北京致远慧图科技有限公司 | 一种卷积神经网络迁移方法、装置、电子设备及存储介质 |
| CN110472676A (zh) * | 2019-08-05 | 2019-11-19 | 首都医科大学附属北京朝阳医院 | 基于深度神经网络的胃早癌组织学图像分类系统 |
| CN110504029A (zh) * | 2019-08-29 | 2019-11-26 | 腾讯医疗健康(深圳)有限公司 | 一种医学图像处理方法、医学图像识别方法及装置 |
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Also Published As
| Publication number | Publication date |
|---|---|
| JP7726218B2 (ja) | 2025-08-20 |
| EP4147197A1 (en) | 2023-03-15 |
| EP4147197B1 (en) | 2025-02-12 |
| EP3907696A1 (en) | 2021-11-10 |
| WO2021224162A1 (en) | 2021-11-11 |
| US12450736B2 (en) | 2025-10-21 |
| JP2023524947A (ja) | 2023-06-14 |
| US20230334656A1 (en) | 2023-10-19 |
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