JP2016505289A5 - - Google Patents

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JP2016505289A5
JP2016505289A5 JP2015542383A JP2015542383A JP2016505289A5 JP 2016505289 A5 JP2016505289 A5 JP 2016505289A5 JP 2015542383 A JP2015542383 A JP 2015542383A JP 2015542383 A JP2015542383 A JP 2015542383A JP 2016505289 A5 JP2016505289 A5 JP 2016505289A5
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Japan
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image texture
interest
feature
calculating
image
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JP2015542383A
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Japanese (ja)
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JP2016505289A (ja
JP6321026B2 (ja
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Priority claimed from PCT/IB2013/059663 external-priority patent/WO2014080305A2/en
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JP2015542383A 2012-11-20 2013-10-25 画像テクスチャ特徴を用いる統合表現型解析 Expired - Fee Related JP6321026B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201261728441P 2012-11-20 2012-11-20
US61/728,441 2012-11-20
PCT/IB2013/059663 WO2014080305A2 (en) 2012-11-20 2013-10-25 Integrated phenotyping employing image texture features.

Publications (3)

Publication Number Publication Date
JP2016505289A JP2016505289A (ja) 2016-02-25
JP2016505289A5 true JP2016505289A5 (enExample) 2017-10-12
JP6321026B2 JP6321026B2 (ja) 2018-05-09

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JP2015542383A Expired - Fee Related JP6321026B2 (ja) 2012-11-20 2013-10-25 画像テクスチャ特徴を用いる統合表現型解析

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

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2901340A2 (en) * 2012-12-20 2015-08-05 Siemens Aktiengesellschaft Determination of a probability indicator value
CN104217213B (zh) * 2014-08-20 2018-04-27 哈尔滨工程大学 一种基于对称性理论的医学图像多阶段分类方法
FR3025317B1 (fr) * 2014-08-26 2022-09-23 Imabiotech Methode de caracterisation d'un echantillon par imagerie par spectrometrie de masse
ES2833543T3 (es) * 2014-10-24 2021-06-15 Koninklijke Philips Nv Evaluación de la actividad de la ruta de señalización celular de TGF usando modelos matemáticos de la expresión de genes diana
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
US10127660B2 (en) * 2015-12-30 2018-11-13 Case Western Reserve University Radiomic features on diagnostic magnetic resonance enterography
US10049770B2 (en) * 2015-12-30 2018-08-14 Case Western Reserve University Prediction of recurrence of non-small cell lung cancer
US10898079B2 (en) * 2016-03-04 2021-01-26 University Of Manitoba Intravascular plaque detection in OCT images
CN106127672B (zh) * 2016-06-21 2019-03-12 南京信息工程大学 基于fpga的图像纹理特征提取算法
EP3513376B1 (en) * 2016-09-16 2020-11-04 QIAGEN GmbH Neighbor influence compensation
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
EP3351956B1 (de) * 2017-01-19 2022-03-16 Siemens Healthcare GmbH Verfahren zur klassifikation von mittels einer magnetresonanz- fingerprinting methode von einem untersuchungsobjekt erfassten magnetresonanz-messdaten
CN110546646B (zh) * 2017-03-24 2024-08-09 帕伊医疗成像有限公司 用于基于机器学习来评估血管阻塞的方法和系统
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
US10818015B2 (en) 2019-01-28 2020-10-27 Florida Analytical Imaging Solutions, LLC. Automatic region of interest selection in centrosome analysis
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
US12045929B2 (en) * 2020-01-24 2024-07-23 St. Jude Medical, Cardiology Division, Inc. System and method for generating three dimensional geometric models of anatomical regions
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

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5426684A (en) * 1993-11-15 1995-06-20 Eastman Kodak Company Technique for finding the histogram region of interest for improved tone scale reproduction of digital radiographic images
JP2873955B1 (ja) * 1998-01-23 1999-03-24 東京工業大学長 画像処理方法および装置
NZ522859A (en) * 2000-06-19 2005-08-26 Correlogic Systems Inc Heuristic method of classifying objects using a vector space having multiple preclassified data clusters
US7461048B2 (en) * 2003-07-21 2008-12-02 Aureon Laboratories, Inc. Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
US10121243B2 (en) * 2006-09-22 2018-11-06 Koninklijke Philips N.V. Advanced computer-aided diagnosis of lung nodules
US8787633B2 (en) * 2007-01-16 2014-07-22 Purdue Research Foundation System and method of organism identification
US20080195322A1 (en) * 2007-02-12 2008-08-14 The Board Of Regents Of The University Of Texas System Quantification of the Effects of Perturbations on Biological Samples
GB0705223D0 (en) * 2007-03-19 2007-04-25 Univ Sussex Method, apparatus and computer program for analysing medical image data
WO2009105530A2 (en) 2008-02-19 2009-08-27 The Trustees Of The University Of Pennsylvania System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors
US8737715B2 (en) * 2009-07-13 2014-05-27 H. Lee Moffitt Cancer And Research Institute, Inc. Methods and apparatus for diagnosis and/or prognosis of cancer
CN102122356A (zh) * 2011-03-16 2011-07-13 中国人民解放军第二军医大学 计算机辅助判别胰腺癌超声内镜图像的方法
CN102509113B (zh) * 2011-11-08 2013-04-24 浙江大学 一种脑瘤mib-1指数范围检测方法

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