skip to content
Pattern recognition and signal analysis in medical imaging Preview this item
ClosePreview this item
Checking...

Pattern recognition and signal analysis in medical imaging

Author: Anke Meyer-Bäse; Volker Schmid
Publisher: Oxford, UK ; Waltham, MA : Elsevier/Academic Press, 2014.
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:
"Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Anke Meyer-Bäse; Volker Schmid
ISBN: 9780124095458 0124095453 0124166156 9780124166158
OCLC Number: 897511178
Notes: Preceded by Pattern recognition for medical imaging / Anke Meyer-Bäse. 2004.
Description: xxi, 444 pages : illustrations ; 25 cm
Contents: Machine generated contents note: 1. Introduction --
1.1. Model for Medical Image Processing --
1.2. Medical Image Analysis --
1.3. Computer-Aided Diagnosis (CAD) Systems --
2. Feature Selection and Extraction --
2.1. Introduction --
2.2. Role of Feature Selection and Extraction --
2.3. Preliminary Notations for Feature Selection and Extraction --
2.4. Feature Extraction Methods --
2.5. Gaussian Markov Random Fields --
2.6. Markov Chain Monte Carlo --
2.7. Feature Selection Methods --
2.8. Exercises --
3. Subband Coding and Wavelet Transform --
3.1. Introduction --
3.2. The Theory of Subband Coding --
3.3. The Wavelet Transform --
3.4. The Discrete Wavelet Transformation --
3.5. Multiscale Signal Decomposition --
3.6. Overview: Types of Wavelet Transforms --
3.7. Exercises --
4. The Wavelet Transform in Medical Imaging --
4.1. Introduction --
4.2. The Two-Dimensional Discrete Wavelet Transform --
4.3. Biorthogonal Wavelets and Filter Banks --
4.4. Applications --
4.5. Exercises --
5. Genetic Algorithms. Contents note continued: 5.1. Introduction --
5.2. Encoding and Optimization Problems --
5.3. The Canonical Genetic Algorithm --
5.4. Optimization of a Simple Function --
5.5. Theoretical Aspects of Genetic Algorithms --
5.6. Feature Selection Based on Genetic Algorithms --
5.7. Exercises --
6. Statistical and Syntactic Pattern Recognition --
6.1. Introduction --
6.2. Learning Paradigms in Statistical Pattern Recognition --
6.3. Parametric Estimation Methods --
6.4. Nonparametric Estimation Methods --
6.5. Binary Decision Trees --
6.6. Bayesian Networks --
6.7. Syntactic Pattern Recognition --
6.8. Diagnostic Accuracy of Classification Measured by ROC Curves --
6.9. Application of Statistical Classification Methods in Biomedical Imaging --
6.10. Application of Syntactic Pattern Recognition to Biomedical Imaging --
6.11. Exercises --
7. Foundations of Neural Networks --
7.1. Introduction --
7.2. Multilayer Perceptron (MLP) --
7.3. Self-Organizing Neural Networks. Contents note continued: 7.4. Radial Basis Neural Networks (RBNN) --
7.5. Transformation Radial Basis Neural Networks --
7.6. Support Vector Machines --
7.7. Hopfield Neural Networks --
7.8. Comparing Statistical, Syntactic, and Neural Pattern Recognition Methods --
7.9. Pixel Labeling Using Neural Networks --
7.10. Classification Strategies for Medical Images --
7.11. Performance Evaluation of Clustering Techniques --
7.12. Classifier Evaluation Techniques --
7.13. Exercises --
8. Transformation and Signal-Separation Neural Networks --
8.1. Introduction --
8.2. Neurodynamical Aspects of Neural Networks --
8.3. PCA-Type Neural Networks --
8.4. ICA-Type Neural Networks --
8.5. Exercises --
9. Neuro-Fuzzy Classification --
9.1. Introduction --
9.2. Fuzzy Sets --
9.3. Neuro-Fuzzy Integration --
9.4. Mathematical Formulation of a Fuzzy Neural Network --
9.5. Fuzzy Clustering --
9.6. Comparison of Fuzzy Clustering versus PCA for fMRI --
9.7. Fuzzy Algorithms for LVQ --
9.8. Exercises. Contents note continued: 10. Specialized Neural Networks Relevant to Bioimaging --
10.1. Introduction --
10.2. Basic Aspects of Specialized Neural Network Architectures --
10.3. Convolution Neural Networks (CNNs) --
10.4. Hierarchical Pyramid Neural Networks --
10.5. Problem Factorization --
10.6. Modified Hopfield Neural Network --
10.7. Hopfield Neural Network Using A Priori Image Information --
10.8. Hopfield Neural Network for Tumor Boundary Detection --
10.9. Cascaded Self-Organized Neural Network for Image Compression --
11. Spatio-Temporal Models in Functional and Perfusion Imaging --
11.1. Spatio-Temporal Linear Models --
11.2. Spatial Approaches for Nonlinear Models --
11.3. Nonparametric Spatial Models --
12. Analysis of Dynamic Susceptibility Contrast MRI Time-Series Based on Unsupervised Clustering Methods --
12.1. Introduction --
12.2. Materials and Methods --
12.3. Results. Contents note continued: 12.4. General Aspects of Time-Series Analysis Based on Unsupervised Clustering in Dynamic Cerebral Contrast-Enhanced Perfusion MRI --
13. Computer-Aided Diagnosis for Diagnostically Challenging Breast Lesions in DCE-MRI --
13.1. Introduction --
13.2. Motion Compensation --
13.3. Lesion Segmentation --
13.4. Feature Extraction --
13.5. Automated Detection of Small Lesions in Breast MRI Based on Morphological, Kinetic, and Spatio-Temporal Features --
13.6. Automated Analysis of Non-Mass-Enhancing Lesions in Breast MRI Based on Morphological, Kinetic, and Spatio-Temporal Features.
Other Titles: Pattern recognition for medical imaging
Responsibility: Anke Meyer-Bäese, Department of Scientific Computing, Florida State University, Tallahassee, USA, Volker Schmid, Department of Statistics, Ludwig-Maximillians-University Munich, Munich, Germany.
More information:

Abstract:

Medical imaging is one of the heaviest funded biomedical engineering research areas. This title is suitable for serious students and professionals working with Medical Imaging.  Read more...

Reviews

Editorial reviews

Publisher Synopsis

"The second edition of this book brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant Read more...

 
User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/897511178> # Pattern recognition and signal analysis in medical imaging
    a schema:CreativeWork, schema:Book ;
    library:oclcnum "897511178" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/enk> ;
    schema:about <http://dewey.info/class/616.1/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/diagnostic_imaging_methods> ; # Diagnostic Imaging--methods
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/pattern_perception> ; # Pattern perception
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/image_processing_computer_assisted> ; # Image Processing, Computer-Assisted
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/diagnostic_imaging> ; # Diagnostic imaging
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/magnetic_resonance_imaging> ; # Magnetic resonance imaging
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/image_processing> ; # Image processing
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/pattern_recognition_automated> ; # Pattern Recognition, Automated
    schema:about <http://experiment.worldcat.org/entity/work/data/655812#Topic/mathematical_computing> ; # Mathematical Computing
    schema:author <http://experiment.worldcat.org/entity/work/data/655812#Person/schmid_volker_1973> ; # Volker Schmid
    schema:author <http://experiment.worldcat.org/entity/work/data/655812#Person/meyer_base_anke> ; # Anke Meyer-Bäse
    schema:bookEdition "Second edition." ;
    schema:bookFormat bgn:PrintBook ;
    schema:datePublished "2014" ;
    schema:description ""Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging"--Provided by publisher."@en ;
    schema:description "Contents note continued: 7.4. Radial Basis Neural Networks (RBNN) -- 7.5. Transformation Radial Basis Neural Networks -- 7.6. Support Vector Machines -- 7.7. Hopfield Neural Networks -- 7.8. Comparing Statistical, Syntactic, and Neural Pattern Recognition Methods -- 7.9. Pixel Labeling Using Neural Networks -- 7.10. Classification Strategies for Medical Images -- 7.11. Performance Evaluation of Clustering Techniques -- 7.12. Classifier Evaluation Techniques -- 7.13. Exercises -- 8. Transformation and Signal-Separation Neural Networks -- 8.1. Introduction -- 8.2. Neurodynamical Aspects of Neural Networks -- 8.3. PCA-Type Neural Networks -- 8.4. ICA-Type Neural Networks -- 8.5. Exercises -- 9. Neuro-Fuzzy Classification -- 9.1. Introduction -- 9.2. Fuzzy Sets -- 9.3. Neuro-Fuzzy Integration -- 9.4. Mathematical Formulation of a Fuzzy Neural Network -- 9.5. Fuzzy Clustering -- 9.6. Comparison of Fuzzy Clustering versus PCA for fMRI -- 9.7. Fuzzy Algorithms for LVQ -- 9.8. Exercises."@en ;
    schema:description "Contents note continued: 5.1. Introduction -- 5.2. Encoding and Optimization Problems -- 5.3. The Canonical Genetic Algorithm -- 5.4. Optimization of a Simple Function -- 5.5. Theoretical Aspects of Genetic Algorithms -- 5.6. Feature Selection Based on Genetic Algorithms -- 5.7. Exercises -- 6. Statistical and Syntactic Pattern Recognition -- 6.1. Introduction -- 6.2. Learning Paradigms in Statistical Pattern Recognition -- 6.3. Parametric Estimation Methods -- 6.4. Nonparametric Estimation Methods -- 6.5. Binary Decision Trees -- 6.6. Bayesian Networks -- 6.7. Syntactic Pattern Recognition -- 6.8. Diagnostic Accuracy of Classification Measured by ROC Curves -- 6.9. Application of Statistical Classification Methods in Biomedical Imaging -- 6.10. Application of Syntactic Pattern Recognition to Biomedical Imaging -- 6.11. Exercises -- 7. Foundations of Neural Networks -- 7.1. Introduction -- 7.2. Multilayer Perceptron (MLP) -- 7.3. Self-Organizing Neural Networks."@en ;
    schema:description "Contents note continued: 12.4. General Aspects of Time-Series Analysis Based on Unsupervised Clustering in Dynamic Cerebral Contrast-Enhanced Perfusion MRI -- 13. Computer-Aided Diagnosis for Diagnostically Challenging Breast Lesions in DCE-MRI -- 13.1. Introduction -- 13.2. Motion Compensation -- 13.3. Lesion Segmentation -- 13.4. Feature Extraction -- 13.5. Automated Detection of Small Lesions in Breast MRI Based on Morphological, Kinetic, and Spatio-Temporal Features -- 13.6. Automated Analysis of Non-Mass-Enhancing Lesions in Breast MRI Based on Morphological, Kinetic, and Spatio-Temporal Features."@en ;
    schema:description "Machine generated contents note: 1. Introduction -- 1.1. Model for Medical Image Processing -- 1.2. Medical Image Analysis -- 1.3. Computer-Aided Diagnosis (CAD) Systems -- 2. Feature Selection and Extraction -- 2.1. Introduction -- 2.2. Role of Feature Selection and Extraction -- 2.3. Preliminary Notations for Feature Selection and Extraction -- 2.4. Feature Extraction Methods -- 2.5. Gaussian Markov Random Fields -- 2.6. Markov Chain Monte Carlo -- 2.7. Feature Selection Methods -- 2.8. Exercises -- 3. Subband Coding and Wavelet Transform -- 3.1. Introduction -- 3.2. The Theory of Subband Coding -- 3.3. The Wavelet Transform -- 3.4. The Discrete Wavelet Transformation -- 3.5. Multiscale Signal Decomposition -- 3.6. Overview: Types of Wavelet Transforms -- 3.7. Exercises -- 4. The Wavelet Transform in Medical Imaging -- 4.1. Introduction -- 4.2. The Two-Dimensional Discrete Wavelet Transform -- 4.3. Biorthogonal Wavelets and Filter Banks -- 4.4. Applications -- 4.5. Exercises -- 5. Genetic Algorithms."@en ;
    schema:description "Contents note continued: 10. Specialized Neural Networks Relevant to Bioimaging -- 10.1. Introduction -- 10.2. Basic Aspects of Specialized Neural Network Architectures -- 10.3. Convolution Neural Networks (CNNs) -- 10.4. Hierarchical Pyramid Neural Networks -- 10.5. Problem Factorization -- 10.6. Modified Hopfield Neural Network -- 10.7. Hopfield Neural Network Using A Priori Image Information -- 10.8. Hopfield Neural Network for Tumor Boundary Detection -- 10.9. Cascaded Self-Organized Neural Network for Image Compression -- 11. Spatio-Temporal Models in Functional and Perfusion Imaging -- 11.1. Spatio-Temporal Linear Models -- 11.2. Spatial Approaches for Nonlinear Models -- 11.3. Nonparametric Spatial Models -- 12. Analysis of Dynamic Susceptibility Contrast MRI Time-Series Based on Unsupervised Clustering Methods -- 12.1. Introduction -- 12.2. Materials and Methods -- 12.3. Results."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/655812> ; # Pattern recognition for medical imaging
    schema:inLanguage "en" ;
    schema:name "Pattern recognition and signal analysis in medical imaging"@en ;
    schema:productID "897511178" ;
    schema:url <http://www.123library.org/book_details/?id=36297> ;
    schema:workExample <http://worldcat.org/isbn/9780124095458> ;
    schema:workExample <http://worldcat.org/isbn/9780124166158> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/897511178> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/655812#Person/meyer_base_anke> # Anke Meyer-Bäse
    a schema:Person ;
    schema:familyName "Meyer-Bäse" ;
    schema:givenName "Anke" ;
    schema:name "Anke Meyer-Bäse" ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Person/schmid_volker_1973> # Volker Schmid
    a schema:Person ;
    schema:birthDate "1973" ;
    schema:familyName "Schmid" ;
    schema:givenName "Volker" ;
    schema:name "Volker Schmid" ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/diagnostic_imaging> # Diagnostic imaging
    a schema:Intangible ;
    schema:name "Diagnostic imaging"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/diagnostic_imaging_methods> # Diagnostic Imaging--methods
    a schema:Intangible ;
    schema:name "Diagnostic Imaging--methods"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/image_processing> # Image processing
    a schema:Intangible ;
    schema:name "Image processing"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/image_processing_computer_assisted> # Image Processing, Computer-Assisted
    a schema:Intangible ;
    schema:name "Image Processing, Computer-Assisted"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/magnetic_resonance_imaging> # Magnetic resonance imaging
    a schema:Intangible ;
    schema:name "Magnetic resonance imaging"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/mathematical_computing> # Mathematical Computing
    a schema:Intangible ;
    schema:name "Mathematical Computing"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/pattern_perception> # Pattern perception
    a schema:Intangible ;
    schema:name "Pattern perception"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/655812#Topic/pattern_recognition_automated> # Pattern Recognition, Automated
    a schema:Intangible ;
    schema:name "Pattern Recognition, Automated"@en ;
    .

<http://worldcat.org/entity/work/id/655812> # Pattern recognition for medical imaging
    schema:name "Pattern recognition for medical imaging" ;
    .

<http://worldcat.org/isbn/9780124095458>
    a schema:ProductModel ;
    schema:isbn "0124095453" ;
    schema:isbn "9780124095458" ;
    .

<http://worldcat.org/isbn/9780124166158>
    a schema:ProductModel ;
    schema:isbn "0124166156" ;
    schema:isbn "9780124166158" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.