WO2007092518A3 - System and method for multiple instance learning for computer aided detection - Google Patents

System and method for multiple instance learning for computer aided detection Download PDF

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Publication number
WO2007092518A3
WO2007092518A3 PCT/US2007/003296 US2007003296W WO2007092518A3 WO 2007092518 A3 WO2007092518 A3 WO 2007092518A3 US 2007003296 W US2007003296 W US 2007003296W WO 2007092518 A3 WO2007092518 A3 WO 2007092518A3
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WO
WIPO (PCT)
Prior art keywords
interest
region
computer aided
aided detection
multiple instance
Prior art date
Application number
PCT/US2007/003296
Other languages
French (fr)
Other versions
WO2007092518A2 (en
Inventor
Bharat R Rao
Murat Dundar
Balaji Krishnapuram
Glenn Fung
Original Assignee
Siemens Medical Solutions
Bharat R Rao
Murat Dundar
Balaji Krishnapuram
Glenn Fung
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.)
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Publication date
Application filed by Siemens Medical Solutions, Bharat R Rao, Murat Dundar, Balaji Krishnapuram, Glenn Fung filed Critical Siemens Medical Solutions
Publication of WO2007092518A2 publication Critical patent/WO2007092518A2/en
Publication of WO2007092518A3 publication Critical patent/WO2007092518A3/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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; CALCULATING OR 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

Abstract

A method of training a classifier for computer aided detection of digitized medical images, includes providing a plurality of bags, each bag containinga plurality of feature samples of a single region-of-interest in a medical image, wherein said features include texture, shape, intensity, and contrast of said region-of-interest, wherein each region-of-interest has been labeled as either malignant (11) or healthy (13), and training a classifier on said plurality of bags of feature samples, subject to the constraint that at least one point (12) in a convex hull (14) of each bag, corresponding to a feature sample, is correctly classified according to the labeled of the associated region-of-interest.
PCT/US2007/003296 2006-02-07 2007-02-07 System and method for multiple instance learning for computer aided detection WO2007092518A2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US76592206P 2006-02-07 2006-02-07
US60/765,922 2006-02-07
US11/671,777 2007-02-06
US11/671,777 US7986827B2 (en) 2006-02-07 2007-02-06 System and method for multiple instance learning for computer aided detection

Publications (2)

Publication Number Publication Date
WO2007092518A2 WO2007092518A2 (en) 2007-08-16
WO2007092518A3 true WO2007092518A3 (en) 2008-06-05

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2007/003296 WO2007092518A2 (en) 2006-02-07 2007-02-07 System and method for multiple instance learning for computer aided detection

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US (1) US7986827B2 (en)
WO (1) WO2007092518A2 (en)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8131039B2 (en) * 2007-09-26 2012-03-06 Siemens Medical Solutions Usa, Inc. System and method for multiple-instance learning for computer aided diagnosis
US20090198654A1 (en) * 2008-02-05 2009-08-06 Microsoft Corporation Detecting relevant content blocks in text
US20090290802A1 (en) * 2008-05-22 2009-11-26 Microsoft Corporation Concurrent multiple-instance learning for image categorization
US8249366B2 (en) * 2008-06-16 2012-08-21 Microsoft Corporation Multi-label multi-instance learning for image classification
CN102165454B (en) * 2008-09-29 2015-08-05 皇家飞利浦电子股份有限公司 For improving the method for computer-aided diagnosis to the probabilistic robustness of image procossing
US9122955B2 (en) * 2010-06-28 2015-09-01 Ramot At Tel-Aviv University Ltd. Method and system of classifying medical images
US8588519B2 (en) 2010-09-22 2013-11-19 Siemens Aktiengesellschaft Method and system for training a landmark detector using multiple instance learning
US8768668B2 (en) 2012-01-09 2014-07-01 Honeywell International Inc. Diagnostic algorithm parameter optimization
US9060685B2 (en) 2012-03-26 2015-06-23 Nec Laboratories America, Inc. Whole tissue classifier for histology biopsy slides
CN103325125B (en) * 2013-07-03 2016-08-10 北京工业大学 Based on the motion target tracking method improving multi-instance learning algorithm
US10120980B2 (en) 2014-01-27 2018-11-06 Arizona Board Of Regents On Behalf Of Arizona State University Diagnosing pulmonary embolism by integrating patient-level diagnosis and embolus-level detection
CN105005989B (en) * 2015-06-30 2018-02-13 长安大学 A kind of vehicle target dividing method under weak contrast
US10157467B2 (en) 2015-08-07 2018-12-18 Arizona Board Of Regents On Behalf Of Arizona State University System and method for detecting central pulmonary embolism in CT pulmonary angiography images
CN105976401B (en) * 2016-05-20 2019-03-12 河北工业职业技术学院 Method for tracking target and system based on piecemeal multi-instance learning algorithm
US20180005136A1 (en) * 2016-07-01 2018-01-04 Yi Gai Machine learning in adversarial environments

Family Cites Families (50)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5274714A (en) * 1990-06-04 1993-12-28 Neuristics, Inc. Method and apparatus for determining and organizing feature vectors for neural network recognition
US5598509A (en) * 1992-08-28 1997-01-28 Hitachi, Ltd. Method of configuring a neural network and a diagnosis/recognition system using the same
US5544256A (en) * 1993-10-22 1996-08-06 International Business Machines Corporation Automated defect classification system
US5931780A (en) * 1993-11-29 1999-08-03 Arch Development Corporation Method and system for the computerized radiographic analysis of bone
US6269363B1 (en) * 1994-01-24 2001-07-31 Yossi Matias Method of accessing data using approximate data structures by relaxing the operations that define same
US5835901A (en) * 1994-01-25 1998-11-10 Martin Marietta Corporation Perceptive system including a neural network
JP2915826B2 (en) * 1995-07-11 1999-07-05 富士通株式会社 Interference check device
US5987445A (en) * 1996-01-05 1999-11-16 Siemens Corporate Research, Inc. Delta learning system for using expert advice to revise diagnostic expert system fault hierarchies
US6018590A (en) * 1997-10-07 2000-01-25 Eastman Kodak Company Technique for finding the histogram region of interest based on landmark detection for improved tonescale reproduction of digital radiographic images
US6629065B1 (en) * 1998-09-30 2003-09-30 Wisconsin Alumni Research Foundation Methods and apparata for rapid computer-aided design of objects in virtual reality and other environments
US6317517B1 (en) * 1998-11-30 2001-11-13 Regents Of The University Of California Statistical pattern recognition
US6269176B1 (en) * 1998-12-21 2001-07-31 Eastman Kodak Company Method for x-ray antiscatter grid detection and suppression in digital radiography
US6408300B1 (en) * 1999-07-23 2002-06-18 International Business Machines Corporation Multidimensional indexing structure for use with linear optimization queries
US6750964B2 (en) * 1999-08-06 2004-06-15 Cambridge Research And Instrumentation, Inc. Spectral imaging methods and systems
GB9919947D0 (en) * 1999-08-23 2000-05-24 British Aerospace Image processing system and method
US6901156B2 (en) * 2000-02-04 2005-05-31 Arch Development Corporation Method, system and computer readable medium for an intelligent search workstation for computer assisted interpretation of medical images
US6678413B1 (en) * 2000-11-24 2004-01-13 Yiqing Liang System and method for object identification and behavior characterization using video analysis
US7024033B2 (en) * 2001-12-08 2006-04-04 Microsoft Corp. Method for boosting the performance of machine-learning classifiers
US7295691B2 (en) * 2002-05-15 2007-11-13 Ge Medical Systems Global Technology Company, Llc Computer aided diagnosis of an image set
US7263214B2 (en) * 2002-05-15 2007-08-28 Ge Medical Systems Global Technology Company Llc Computer aided diagnosis from multiple energy images
US6609021B1 (en) * 2002-05-20 2003-08-19 Siemens Corporate Research, Inc. Pulmonary nodule detection using cartwheel projection analysis
US7418123B2 (en) * 2002-07-12 2008-08-26 University Of Chicago Automated method and system for computerized image analysis for prognosis
US7346209B2 (en) * 2002-09-30 2008-03-18 The Board Of Trustees Of The Leland Stanford Junior University Three-dimensional pattern recognition method to detect shapes in medical images
EP1605824A2 (en) * 2003-03-25 2005-12-21 Imaging Therapeutics, Inc. Methods for the compensation of imaging technique in the processing of radiographic images
US7092749B2 (en) * 2003-06-11 2006-08-15 Siemens Medical Solutions Usa, Inc. System and method for adapting the behavior of a diagnostic medical ultrasound system based on anatomic features present in ultrasound images
US7346201B2 (en) * 2003-09-26 2008-03-18 Virtualscopics Llc Semi-automated measurement of anatomical structures using statistical and morphological priors
US7658714B2 (en) * 2003-10-31 2010-02-09 Siemens Medical Solutions Usa, Inc. Intelligent ultrasound examination storage system
US7536044B2 (en) * 2003-11-19 2009-05-19 Siemens Medical Solutions Usa, Inc. System and method for detecting and matching anatomical structures using appearance and shape
US7463773B2 (en) * 2003-11-26 2008-12-09 Drvision Technologies Llc Fast high precision matching method
US20050177040A1 (en) * 2004-02-06 2005-08-11 Glenn Fung System and method for an iterative technique to determine fisher discriminant using heterogenous kernels
US7653227B2 (en) * 2004-02-09 2010-01-26 Siemens Medical Solutions Usa, Inc. Hierarchical modeling in medical abnormality detection
US7729538B2 (en) * 2004-08-26 2010-06-01 Microsoft Corporation Spatial recognition and grouping of text and graphics
WO2006034366A1 (en) * 2004-09-21 2006-03-30 Siemens Medical Solutions Usa, Inc. Hierarchical medical image view determination
US7440944B2 (en) * 2004-09-24 2008-10-21 Overture Services, Inc. Method and apparatus for efficient training of support vector machines
CA3031088A1 (en) * 2004-11-29 2006-06-01 Hypermed Imaging, Inc. Medical hyperspectral imaging for evaluation of tissue and tumor
US7650321B2 (en) * 2005-02-16 2010-01-19 Siemens Medical Solutions Usa, Inc. Two classifier based system for classifying anomalous medical patient records
US20070053563A1 (en) * 2005-03-09 2007-03-08 Zhuowen Tu Probabilistic boosting tree framework for learning discriminative models
US7680307B2 (en) * 2005-04-05 2010-03-16 Scimed Life Systems, Inc. Systems and methods for image segmentation with a multi-stage classifier
US7672987B2 (en) * 2005-05-25 2010-03-02 Siemens Corporate Research, Inc. System and method for integration of medical information
US20070011121A1 (en) * 2005-06-03 2007-01-11 Jinbo Bi System and method for learning rankings via convex hull separation
US8358819B2 (en) * 2005-06-24 2013-01-22 University Of Iowa Research Foundation System and methods for image segmentation in N-dimensional space
US7702153B2 (en) * 2005-10-07 2010-04-20 Siemens Medical Solutions Usa, Inc. Systems and methods for segmenting object of interest from medical image
US7756313B2 (en) * 2005-11-14 2010-07-13 Siemens Medical Solutions Usa, Inc. System and method for computer aided detection via asymmetric cascade of sparse linear classifiers
US7515734B2 (en) * 2006-03-27 2009-04-07 Eyecue Vision Technologies Ltd. Device, system and method for determining compliance with a positioning instruction by a figure in an image
US7912278B2 (en) * 2006-05-03 2011-03-22 Siemens Medical Solutions Usa, Inc. Using candidates correlation information during computer aided diagnosis
US8204315B2 (en) * 2006-10-18 2012-06-19 The Trustees Of The University Of Pennsylvania Systems and methods for classification of biological datasets
US8055593B2 (en) * 2006-11-02 2011-11-08 Siemens Medical Solutions Usa, Inc. Learning classifiers for multiple-label data analysis
US8010476B2 (en) * 2007-06-04 2011-08-30 Siemens Medical Solutions Usa, Inc. System and method for medical predictive models using likelihood gamble pricing
US8131039B2 (en) * 2007-09-26 2012-03-06 Siemens Medical Solutions Usa, Inc. System and method for multiple-instance learning for computer aided diagnosis
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

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
FUNG G M ET AL: "Knowledge-Based Support Vector Machine Classifiers", PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, XX, XX, 2002, pages 1 - 8, XP002364990 *
FUNG G. ET AL.: "Multiple Instance Learning for Computer Aided Diagnosis", NEURAL INFORMATION PROCESSING SYSTEMS, 4 December 2006 (2006-12-04), XP002474279 *
MANGASARIAN O.L. AND WILD E. W.: "Multiple Instance Classification via Successive Linear Programming", DATA MINING INSTITUTE TECHNICAL REPORT 05-02 - UNIVERSITY OF WISCONSIN MADISON, February 2005 (2005-02-01), XP002474280, ISSN: 8, Retrieved from the Internet <URL:ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/05-02.pdf> [retrieved on 20080320] *

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US7986827B2 (en) 2011-07-26
US20070189602A1 (en) 2007-08-16

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