BR112015011289A2 - mídia de armazenamento não transitório, aparelho e método - Google Patents

mídia de armazenamento não transitório, aparelho e método

Info

Publication number
BR112015011289A2
BR112015011289A2 BR112015011289A BR112015011289A BR112015011289A2 BR 112015011289 A2 BR112015011289 A2 BR 112015011289A2 BR 112015011289 A BR112015011289 A BR 112015011289A BR 112015011289 A BR112015011289 A BR 112015011289A BR 112015011289 A2 BR112015011289 A2 BR 112015011289A2
Authority
BR
Brazil
Prior art keywords
characteristic values
image
interest
image texture
calculated
Prior art date
Application number
BR112015011289A
Other languages
English (en)
Inventor
Janevski Angel
Dimitrova Nevenka
Banerjee Nilanjana
Maity Sayan
Kamalakaran Sitharthan
Varadan Vinay
Original Assignee
Koninklijke Philips Nv
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips Nv filed Critical Koninklijke Philips Nv
Publication of BR112015011289A2 publication Critical patent/BR112015011289A2/pt

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G06T7/41—Analysis of texture based on statistical description of texture
    • G06T7/45—Analysis of texture based on statistical description of texture using co-occurrence matrix computation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/30068—Mammography; Breast

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Analysis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Processing (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

resumo mídia de armazenamento não transitório, aparelho e método os valores da característica de textura da imagem são calculados para um conjunto de características de textura da imagem de uma imagem de uma característica anatômica de interesse em um indivíduo, e o indivíduo é classificado em relação a uma característica molecular de interesse com base nos valores da característica de textura da imagem calculados. os valores da característica de textura da imagem podem ser calculados a partir de uma ou mais matrizes de co-ocorrência de níveis de cinza (glcms), e as características de textura da imagem podem incluir características de textura da imagem de haralick e/ou tamura. para treinar o classificador, os valores da característica de textura da imagem de referência são calculados para ao menos o conjunto de características de textura da imagem das imagens da característica anatômica de interesse em indivíduos de referência de interesse. os valores da característica de textura da imagem de referência são divididos em diferentes grupos populacionais representando diferentes valores da característica molecular de interesse, e o classificador é treinado para distinguir os diferentes grupos populacionais com base nos valores da característica de textura da imagem de referência. 1/1
BR112015011289A 2012-11-20 2013-10-25 mídia de armazenamento não transitório, aparelho e método BR112015011289A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261728441P 2012-11-20 2012-11-20
PCT/IB2013/059663 WO2014080305A2 (en) 2012-11-20 2013-10-25 Integrated phenotyping employing image texture features.

Publications (1)

Publication Number Publication Date
BR112015011289A2 true BR112015011289A2 (pt) 2017-07-11

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
BR112015011289A BR112015011289A2 (pt) 2012-11-20 2013-10-25 mídia de armazenamento não transitório, aparelho e método

Country Status (7)

Country Link
US (1) US9552649B2 (pt)
EP (1) EP2923336B1 (pt)
JP (1) JP6321026B2 (pt)
CN (1) CN104798105B (pt)
BR (1) BR112015011289A2 (pt)
RU (1) RU2653108C2 (pt)
WO (1) WO2014080305A2 (pt)

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CN107077536B (zh) * 2014-10-24 2021-09-28 皇家飞利浦有限公司 使用靶基因表达的数学建模评价TGF-β细胞信号传导途径的活性
CN105184300A (zh) * 2015-09-01 2015-12-23 中国矿业大学(北京) 一种基于图像lbp的煤岩识别方法
CN105354577A (zh) * 2015-10-26 2016-02-24 中国矿业大学(北京) 一种用于煤岩识别的b-cdtm纹理特征提取方法
US10215830B2 (en) * 2015-12-16 2019-02-26 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Automated cancer detection using MRI
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CN108241865B (zh) * 2016-12-26 2021-11-02 哈尔滨工业大学 基于超声图像的多尺度多子图肝纤维化多级量化分期方法
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EP3451286B1 (de) * 2017-08-30 2019-08-28 Siemens Healthcare GmbH Verfahren zum segmentieren einer organstruktur eines untersuchungsobjekts in medizinischen bilddaten
CN107895139B (zh) * 2017-10-19 2021-09-21 金陵科技学院 一种基于多特征融合的sar图像目标识别方法
EP3486674A1 (en) * 2017-11-17 2019-05-22 Koninklijke Philips N.V. Artificial intelligence-enabled localization of anatomical landmarks
CN110135227B (zh) * 2018-02-09 2022-06-03 电子科技大学 一种基于机器学习的激光点云室外场景自动分割方法
CN108596275A (zh) * 2018-05-10 2018-09-28 句容沣润塑料制品有限公司 一种应用图像关联度的图像模糊分类方法
CN108665431A (zh) * 2018-05-16 2018-10-16 南京信息工程大学 基于k-均值聚类的分数阶图像纹理增强方法
FR3082650B1 (fr) * 2018-06-19 2021-08-27 Hera Mi Systeme et procede pour le traitement d'au moins une region polluante d'une image numerique d'un element expose a des rayons x
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CN110909652B (zh) * 2019-11-16 2022-10-21 中国水利水电科学研究院 纹理特征优选的农作物种植结构月尺度动态提取方法
CN111260636B (zh) * 2020-01-19 2023-07-25 郑州大学 模型训练方法及设备、图像处理方法及设备以及介质
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CN112633082B (zh) * 2020-12-04 2023-08-18 西安理工大学 一种多特征融合杂草检测方法
JP7605711B2 (ja) * 2021-07-29 2024-12-24 株式会社日立製作所 画像識別システム及び画像識別方法

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Also Published As

Publication number Publication date
WO2014080305A3 (en) 2014-07-24
CN104798105B (zh) 2019-06-07
EP2923336A2 (en) 2015-09-30
US20150310632A1 (en) 2015-10-29
CN104798105A (zh) 2015-07-22
RU2653108C2 (ru) 2018-05-07
EP2923336B1 (en) 2017-12-13
JP6321026B2 (ja) 2018-05-09
US9552649B2 (en) 2017-01-24
JP2016505289A (ja) 2016-02-25
RU2015124052A (ru) 2017-01-10
WO2014080305A2 (en) 2014-05-30

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B06F Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]
B06U Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]
B07A Application suspended after technical examination (opinion) [chapter 7.1 patent gazette]
B09B Patent application refused [chapter 9.2 patent gazette]