Coverart for item
The Resource Fractal analysis of breast masses in mammograms, Thanh M. Cabral and Rangaraj M. Rangayyan, (electronic book)

Fractal analysis of breast masses in mammograms, Thanh M. Cabral and Rangaraj M. Rangayyan, (electronic book)

Label
Fractal analysis of breast masses in mammograms
Title
Fractal analysis of breast masses in mammograms
Statement of responsibility
Thanh M. Cabral and Rangaraj M. Rangayyan
Creator
Contributor
Subject
Language
eng
Summary
Fractal analysis is useful in digital image processing for the characterization of shape roughness and gray-scale texture or complexity. Breast masses present shape and gray-scale characteristics in mammograms that vary between benign masses and malignant tumors. This book demonstrates the use of fractal analysis to classify breast masses as benign masses or malignant tumors based on the irregularity exhibited in their contours and the gray-scale variability exhibited in their mammographic images. A few different approaches are described to estimate the fractal dimension (FD) of the contour of a mass, including the ruler method, box-counting method, and the power spectral analysis (PSA) method. Procedures are also described for the estimation of the FD of the gray-scale image of a mass using the blanket method and the PSA method
Member of
Cataloging source
CaBNVSL
http://library.link/vocab/creatorName
Cabral, Thanh M.
Dewey number
618.1907572
Illustrations
illustrations
Index
no index present
LC call number
RG493.5.R33
LC item number
C234 2012
Literary form
non fiction
Nature of contents
  • abstracts summaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Rangayyan, Rangaraj M
http://library.link/vocab/subjectName
  • Breast
  • Radiography, Medical
  • Fractals
  • Mammography
  • Radiographic Image Interpretation, Computer-Assisted
  • Fractals
Target audience
specialized
Label
Fractal analysis of breast masses in mammograms, Thanh M. Cabral and Rangaraj M. Rangayyan, (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 87-96)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface -- Acknowledgments -- List of symbols and abbreviations --
  • 1. Computer-aided diagnosis of breast cancer -- 1.1 Mammography -- 1.2 Computer-aided diagnosis of breast cancer -- 1.3 Objectives and organization of the book --
  • 2. Detection and analysis of breast masses -- 2.1 Characteristics of breast masses -- 2.2 Review of methods for CAD of breast masses -- 2.3 Review of methods for analysis of breast masses -- 2.3.1 Representation of breast masses for shape and texture analysis -- 2.3.2 Shape analysis of breast masses -- 2.3.3 Texture analysis of breast masses -- 2.4 Remarks --
  • [3]. Datasets of images of breast masses --
  • 4. Methods for fractal analysis -- 4.1 Fractals -- 4.1.1 Famous fractals -- 4.1.2 Fractals in biology -- 4.1.3 Fractal dimension -- 4.1.4 Applications of fractal analysis -- 4.2 Fractal analysis of shape -- 4.2.1 The ruler method -- 4.2.2 The box-counting method -- 4.2.3 The power spectral analysis method -- 4.2.4 Evaluation of the methods with test patterns -- 4.3 Fractal analysis of gray-level images -- 4.3.1 The blanket method -- 4.3.2 Power spectral analysis of gray-level images -- 4.3.3 Evaluation of the methods with test images -- 4.4 Remarks --
  • 5. Pattern classification -- 5.1 Fisher linear discriminant analysis -- 5.2 The Bayesian classifier -- 5.3 Receiver operating characteristics -- 5.4 The t-test and p-value -- 5.5 Remarks --
  • 6. Results of classification of breast masses -- 6.1 Rank-ordering contours of masses by fractal dimension -- 6.2 Results of shape analysis -- 6.2.1 Classification of breast masses using fractal dimension -- 6.2.2 Comparative analysis of shape factors -- 6.3 Results of analysis of gray-scale variation -- 6.3.1 Fractal analysis of gray-scale variation -- 6.3.2 Haralick's texture measures -- 6.4 Discussion --
  • 7. Concluding remarks -- References -- Authors' biographies
Control code
201210BME046
Dimensions
unknown
Extent
1 electronic text (xx, 98 p.)
File format
multiple file formats
Form of item
online
Isbn
9781627050692
Issn
1930-0336
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
ill., digital file.
Reformatting quality
access
Specific material designation
remote
Label
Fractal analysis of breast masses in mammograms, Thanh M. Cabral and Rangaraj M. Rangayyan, (electronic book)
Publication
Bibliography note
Includes bibliographical references (p. 87-96)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface -- Acknowledgments -- List of symbols and abbreviations --
  • 1. Computer-aided diagnosis of breast cancer -- 1.1 Mammography -- 1.2 Computer-aided diagnosis of breast cancer -- 1.3 Objectives and organization of the book --
  • 2. Detection and analysis of breast masses -- 2.1 Characteristics of breast masses -- 2.2 Review of methods for CAD of breast masses -- 2.3 Review of methods for analysis of breast masses -- 2.3.1 Representation of breast masses for shape and texture analysis -- 2.3.2 Shape analysis of breast masses -- 2.3.3 Texture analysis of breast masses -- 2.4 Remarks --
  • [3]. Datasets of images of breast masses --
  • 4. Methods for fractal analysis -- 4.1 Fractals -- 4.1.1 Famous fractals -- 4.1.2 Fractals in biology -- 4.1.3 Fractal dimension -- 4.1.4 Applications of fractal analysis -- 4.2 Fractal analysis of shape -- 4.2.1 The ruler method -- 4.2.2 The box-counting method -- 4.2.3 The power spectral analysis method -- 4.2.4 Evaluation of the methods with test patterns -- 4.3 Fractal analysis of gray-level images -- 4.3.1 The blanket method -- 4.3.2 Power spectral analysis of gray-level images -- 4.3.3 Evaluation of the methods with test images -- 4.4 Remarks --
  • 5. Pattern classification -- 5.1 Fisher linear discriminant analysis -- 5.2 The Bayesian classifier -- 5.3 Receiver operating characteristics -- 5.4 The t-test and p-value -- 5.5 Remarks --
  • 6. Results of classification of breast masses -- 6.1 Rank-ordering contours of masses by fractal dimension -- 6.2 Results of shape analysis -- 6.2.1 Classification of breast masses using fractal dimension -- 6.2.2 Comparative analysis of shape factors -- 6.3 Results of analysis of gray-scale variation -- 6.3.1 Fractal analysis of gray-scale variation -- 6.3.2 Haralick's texture measures -- 6.4 Discussion --
  • 7. Concluding remarks -- References -- Authors' biographies
Control code
201210BME046
Dimensions
unknown
Extent
1 electronic text (xx, 98 p.)
File format
multiple file formats
Form of item
online
Isbn
9781627050692
Issn
1930-0336
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
ill., digital file.
Reformatting quality
access
Specific material designation
remote

Library Locations