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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
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RU
Russia
Application number
RU2019138158A
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RU2019138158A (ru
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Publication of RU2019138158A3 publication Critical patent/RU2019138158A3/ru

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415Classification 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
    • G06F18/24155Bayesian classification
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2431Multiple classes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/254Fusion techniques of classification results, e.g. of results related to same input data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809Fusion, 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10081Computed x-ray tomography [CT]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30096Tumor; Lesion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images
    • G06V2201/032Recognition 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)
RU2019138158A 2018-11-29 2019-11-26 Идентификация признаков в медицинской визуализации RU2019138158A (ru)

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)

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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

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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
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US10943681B2 (en) * 2018-11-21 2021-03-09 Enlitic, Inc. Global multi-label generating system

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

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