RU2019138158A3 - - Google Patents
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- Publication number
- RU2019138158A3 RU2019138158A3 RU2019138158A RU2019138158A RU2019138158A3 RU 2019138158 A3 RU2019138158 A3 RU 2019138158A3 RU 2019138158 A RU2019138158 A RU 2019138158A RU 2019138158 A RU2019138158 A RU 2019138158A RU 2019138158 A3 RU2019138158 A3 RU 2019138158A3
- Authority
- RU
- Russia
Links
Classifications
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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
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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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
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
- G06F18/24155—Bayesian classification
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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
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
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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
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
-
- 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
- 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
-
- 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
- G06T2207/30096—Tumor; Lesion
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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
-
- 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
- G06V2201/032—Recognition of patterns in medical or anatomical images of protuberances, polyps nodules, etc.
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Artificial Intelligence (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Epidemiology (AREA)
- Probability & Statistics with Applications (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Image Analysis (AREA)
- Apparatus For Radiation Diagnosis (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP18209197.5A EP3660741B1 (en) | 2018-11-29 | 2018-11-29 | Feature identification in medical imaging |
| EP18209197 | 2018-11-29 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| RU2019138158A RU2019138158A (ru) | 2021-05-26 |
| RU2019138158A3 true RU2019138158A3 (ru) | 2021-08-20 |
Family
ID=64559563
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| RU2019138158A RU2019138158A (ru) | 2018-11-29 | 2019-11-26 | Идентификация признаков в медицинской визуализации |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11301995B2 (ru) |
| EP (1) | EP3660741B1 (ru) |
| JP (1) | JP7449077B2 (ru) |
| CN (1) | CN111243711B (ru) |
| RU (1) | RU2019138158A (ru) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7239701B2 (ja) * | 2018-12-11 | 2023-03-14 | シナジー エイ.アイ. カンパニー リミテッド | 人工神経網を利用する臓器の体積測定方法及びその装置 |
| US11275976B2 (en) * | 2019-04-05 | 2022-03-15 | Siemens Healthcare Gmbh | Medical image assessment with classification uncertainty |
| EP3756547A1 (en) * | 2019-06-28 | 2020-12-30 | Koninklijke Philips N.V. | Automated coronary angiography analysis |
| US11507778B2 (en) * | 2020-01-27 | 2022-11-22 | Fujifilm Business Innovation Corp. | System and method for automated learning from sensors |
| US20230343449A1 (en) * | 2020-05-12 | 2023-10-26 | Koninklijke Philips N.V. | Systems and methods for extraction and processing of information from imaging systems in a multi-vendor setting |
| DE102020207324A1 (de) * | 2020-06-12 | 2021-12-16 | Robert Bosch Gesellschaft mit beschränkter Haftung | Plausibilisierung der Ausgabe eines Bildklassifikators mit einem Generator für abgewandelte Bilder |
| CN116134529A (zh) * | 2020-07-16 | 2023-05-16 | 皇家飞利浦有限公司 | 用于放射学报告的自动确定性评估器 |
| JP2022092257A (ja) * | 2020-12-10 | 2022-06-22 | 国立大学法人山梨大学 | 情報処理装置、プログラム、及び情報処理方法 |
| WO2022138277A1 (ja) | 2020-12-24 | 2022-06-30 | 富士フイルム株式会社 | 学習装置、方法及びプログラム並びに医用画像処理装置 |
| CN114282594A (zh) * | 2021-11-19 | 2022-04-05 | 广东省人民医院 | 医学图像分类方法、系统和存储介质 |
Family Cites Families (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7706603B2 (en) * | 2005-04-19 | 2010-04-27 | Siemens Corporation | Fast object detection for augmented reality systems |
| US8131033B2 (en) * | 2007-07-25 | 2012-03-06 | Sectra Ab | Sensitivity lens for assessing uncertainty in image visualizations of data sets, related methods and computer products |
| WO2010035163A1 (en) * | 2008-09-29 | 2010-04-01 | Koninklijke Philips Electronics, N.V. | Method for increasing the robustness of computer-aided diagnosis to image processing uncertainties |
| CN101609451A (zh) * | 2009-07-10 | 2009-12-23 | 南方医科大学 | 基于医学图像模糊区域特征归类识别的相关反馈测度方法 |
| CN102549616B (zh) * | 2009-09-24 | 2015-07-22 | 皇家飞利浦电子股份有限公司 | 用于生成感兴趣区域的图像的系统和方法 |
| CN101706956A (zh) * | 2009-11-06 | 2010-05-12 | 上海第二工业大学 | 一种利用多点地质统计法重构图像统计信息的方法 |
| CN103226582B (zh) * | 2013-04-08 | 2016-08-03 | 哈尔滨工程大学 | 一种基于不确定定点图的医学图像检索方法 |
| CN103268498B (zh) * | 2013-04-21 | 2016-06-29 | 郑州轻工业学院 | 一种感兴趣区域模糊图像语义理解的方法 |
| EP2878338B1 (en) * | 2013-11-28 | 2018-04-11 | RaySearch Laboratories AB | Method and system for uncertainty based radiotherapy treatment planning |
| CN103617435B (zh) * | 2013-12-16 | 2017-01-25 | 苏州大学 | 一种主动学习图像分类方法和系统 |
| KR101725478B1 (ko) * | 2015-05-21 | 2017-04-11 | 주식회사 맥스트 | 3d 점군 인식 기반의 증강 현실 출력 방법과 이를 수행하기 위한 장치 및 시스템 |
| CN105701509B (zh) * | 2016-01-13 | 2019-03-12 | 清华大学 | 一种基于跨类别迁移主动学习的图像分类方法 |
| US10657364B2 (en) * | 2016-09-23 | 2020-05-19 | Samsung Electronics Co., Ltd | System and method for deep network fusion for fast and robust object detection |
| US10636141B2 (en) * | 2017-02-09 | 2020-04-28 | Siemens Healthcare Gmbh | Adversarial and dual inverse deep learning networks for medical image analysis |
| US10108845B2 (en) | 2017-03-02 | 2018-10-23 | Hong Kong Applied Science and Technology Research Institute Company Limited | Anomaly detection for medical samples under multiple settings |
| US10600185B2 (en) * | 2017-03-08 | 2020-03-24 | Siemens Healthcare Gmbh | Automatic liver segmentation using adversarial image-to-image network |
| WO2019054045A1 (ja) * | 2017-09-15 | 2019-03-21 | 富士フイルム株式会社 | 医療画像処理装置、医療画像処理方法及び医療画像処理プログラム |
| CN108537773B (zh) * | 2018-02-11 | 2022-06-17 | 中国科学院苏州生物医学工程技术研究所 | 针对胰腺癌与胰腺炎性疾病进行智能辅助鉴别的方法 |
| US10943681B2 (en) * | 2018-11-21 | 2021-03-09 | Enlitic, Inc. | Global multi-label generating system |
-
2018
- 2018-11-29 EP EP18209197.5A patent/EP3660741B1/en active Active
-
2019
- 2019-11-26 RU RU2019138158A patent/RU2019138158A/ru unknown
- 2019-11-26 US US16/696,926 patent/US11301995B2/en active Active
- 2019-11-27 JP JP2019213909A patent/JP7449077B2/ja active Active
- 2019-11-28 CN CN201911188198.XA patent/CN111243711B/zh active Active
Also Published As
| Publication number | Publication date |
|---|---|
| JP7449077B2 (ja) | 2024-03-13 |
| EP3660741B1 (en) | 2022-05-04 |
| EP3660741A1 (en) | 2020-06-03 |
| US11301995B2 (en) | 2022-04-12 |
| CN111243711B (zh) | 2024-02-20 |
| JP2020091862A (ja) | 2020-06-11 |
| RU2019138158A (ru) | 2021-05-26 |
| CN111243711A (zh) | 2020-06-05 |
| US20200175677A1 (en) | 2020-06-04 |