CN104798105B - 采用图像纹理特征的集成表型 - Google Patents

采用图像纹理特征的集成表型 Download PDF

Info

Publication number
CN104798105B
CN104798105B CN201380060670.6A CN201380060670A CN104798105B CN 104798105 B CN104798105 B CN 104798105B CN 201380060670 A CN201380060670 A CN 201380060670A CN 104798105 B CN104798105 B CN 104798105B
Authority
CN
China
Prior art keywords
image
interested
molecules
characterization
storage media
Prior art date
Legal status (The legal status 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 status listed.)
Expired - Fee Related
Application number
CN201380060670.6A
Other languages
English (en)
Chinese (zh)
Other versions
CN104798105A (zh
Inventor
N·班纳吉
N·迪米特罗瓦
V·瓦拉达恩
S·卡玛拉卡兰
A·亚内夫斯基
S·迈蒂
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips Electronics 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 Electronics NV filed Critical Koninklijke Philips Electronics NV
Publication of CN104798105A publication Critical patent/CN104798105A/zh
Application granted granted Critical
Publication of CN104798105B publication Critical patent/CN104798105B/zh
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • 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
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/30068—Mammography; Breast

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (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)
CN201380060670.6A 2012-11-20 2013-10-25 采用图像纹理特征的集成表型 Expired - Fee Related CN104798105B (zh)

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 (2)

Publication Number Publication Date
CN104798105A CN104798105A (zh) 2015-07-22
CN104798105B true CN104798105B (zh) 2019-06-07

Family

ID=49955416

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201380060670.6A Expired - Fee Related CN104798105B (zh) 2012-11-20 2013-10-25 采用图像纹理特征的集成表型

Country Status (7)

Country Link
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 (27)

* 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
JP6415712B2 (ja) * 2014-10-24 2018-10-31 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 標的遺伝子発現の数学的モデル化を用いるＴＧＦ−β細胞シグナル伝達経路活性の評価
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
US10049770B2 (en) * 2015-12-30 2018-08-14 Case Western Reserve University Prediction of recurrence of non-small cell lung cancer
US10127660B2 (en) * 2015-12-30 2018-11-13 Case Western Reserve University Radiomic features on diagnostic magnetic resonance enterography
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
CN109690613B (zh) * 2016-09-16 2023-10-13 凯杰有限公司 邻近影响补偿
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
WO2018172990A1 (en) * 2017-03-24 2018-09-27 Pie Medical Imaging B.V. Method and system for assessing vessel obstruction based on machine learning
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

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008035286A2 (en) * 2006-09-22 2008-03-27 Koninklijke Philips Electronics N.V. Advanced computer-aided diagnosis of lung nodules
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
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
CN102509113A (zh) * 2011-11-08 2012-06-20 浙江大学 一种脑瘤mib-1指数范围检测方法

Family Cites Families (8)

* 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
JP2003536179A (ja) * 2000-06-19 2003-12-02 コレロジック システムズ，インコーポレイティド ヒューリスティック分類方法
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
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
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

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008035286A2 (en) * 2006-09-22 2008-03-27 Koninklijke Philips Electronics N.V. Advanced computer-aided diagnosis of lung nodules
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
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
CN102509113A (zh) * 2011-11-08 2012-06-20 浙江大学 一种脑瘤mib-1指数范围检测方法

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"基于纹理特征与高性能分类器的计算机辅助检测";吴智德;《中国优秀硕士学位论文全文数据具（电子期刊） 信息科技辑》;20120415;论文正文第31页至第48页 *
吴智德."基于纹理特征与高性能分类器的计算机辅助检测".《中国优秀硕士学位论文全文数据具（电子期刊） 信息科技辑》.2012,论文正文第31页至第48页. *

Also Published As

Publication number Publication date
EP2923336A2 (en) 2015-09-30
WO2014080305A2 (en) 2014-05-30
US9552649B2 (en) 2017-01-24
US20150310632A1 (en) 2015-10-29
RU2015124052A (ru) 2017-01-10
RU2653108C2 (ru) 2018-05-07
JP2016505289A (ja) 2016-02-25
CN104798105A (zh) 2015-07-22
WO2014080305A3 (en) 2014-07-24
JP6321026B2 (ja) 2018-05-09
EP2923336B1 (en) 2017-12-13
BR112015011289A2 (pt) 2017-07-11

Similar Documents

Publication Publication Date Title
CN104798105B (zh) 采用图像纹理特征的集成表型
Sun et al. Multiparametric MRI and radiomics in prostate cancer: a review
Sajedi et al. Age prediction based on brain MRI image: a survey
Chitalia et al. Imaging phenotypes of breast cancer heterogeneity in preoperative breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) scans predict 10-year recurrence
Saha et al. Effects of MRI scanner parameters on breast cancer radiomics
Li Recent progress in computer-aided diagnosis of lung nodules on thin-section CT
Wang et al. Agreement of mammographic measures of volumetric breast density to MRI
Giger et al. Anniversary paper: history and status of CAD and quantitative image analysis: the role of medical physics and AAPM
Giger et al. Computer-aided diagnosis
Hsieh et al. Quantitative glioma grading using transformed gray-scale invariant textures of MRI
Hu et al. Clinical artificial intelligence applications: breast imaging
EP2577604B1 (en) Processing system for medical scan images
Chen et al. Computerized assessment of breast lesion malignancy using DCE-MRI: robustness study on two independent clinical datasets from two manufacturers
US20180033138A1 (en) Entropy-based radiogenomic descriptors on magnetic resonance imaging (mri) for molecular characterization of breast cancer
Levman et al. Semi-automatic region-of-interest segmentation based computer-aided diagnosis of mass lesions from dynamic contrast-enhanced magnetic resonance imaging based breast cancer screening
Theek et al. Automation of data analysis in molecular cancer imaging and its potential impact on future clinical practice
Wang et al. Pulmonary MRI radiomics and machine learning: effect of intralesional heterogeneity on classification of lesion
Vivier et al. In vitro assessment of a 3D segmentation algorithm based on the belief functions theory in calculating renal volumes by MRI
Kumar et al. Artificial Intelligence in Breast Cancer Screening in Inducing Diagnostic Accuracy with Early Detection
Tzanoukos et al. SPNsim: A database of simulated solitary pulmonary nodule PET/CT images facilitating computer aided diagnosis
Ferjaoui et al. Supervised classification of lymph nodes based on adc maps construction from whole body diffusion weighted mri
Cataldo et al. Generating a minimal set of templates for the hippocampal region in MR neuroimages
Simpson Texture Analysis of Low Field Strength Magnetic Resonance Images
Sugimoto et al. Computerized detection of metastatic brain tumors on contrast-enhanced 3D MR images by using a selective enhancement filter
Tuan et al. Development of a Vietnamese PET/CT Dataset for Machine Learning-Based Analysis of Non-Small Cell Lung Cancer Images

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20190607

CF01 Termination of patent right due to non-payment of annual fee