Fractal Analysis of Breast Masses in Mammograms (Record no. 85620)
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000 -LEADER | |
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fixed length control field | 04469nam a22005175i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-01654-7 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730164351.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2012 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031016547 |
-- | 978-3-031-01654-7 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 620 |
100 1# - AUTHOR NAME | |
Author | Cabral, Thanh M. |
245 10 - TITLE STATEMENT | |
Title | Fractal Analysis of Breast Masses in Mammograms |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2012. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVI, 104 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Biomedical Engineering, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Computer-Aided Diagnosis of Breast Cancer -- Detection and Analysis of\newline Breast Masses -- Datasets of Images of Breast Masses -- Methods for Fractal Analysis -- Pattern Classification -- Results of Classification of Breast Masses -- Concluding Remarks. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. To facilitate comparative analysis of FD as a feature for pattern classification of breast masses, several other shape features and texture measures are described in the book. The shape features described include compactness, spiculation index, fractional concavity, and Fourier factor. The texture measures described are statistical measures derived from the gray-level cooccurrence matrix of the given image. Texture measures reveal properties about the spatial distribution of the gray levels in the given image; therefore, the performance of texture measures may be dependent on the resolution of the image. For this reason, an analysis of the effect of spatial resolution or pixel size on texture measures in the classification of breast masses is presented in the book. The results demonstrated in the book indicate that fractal analysis is more suitable for characterization of the shape than the gray-level variations of breast masses, with area under the receiver operating characteristics of up to 0.93 with a dataset of 111 mammographic images of masses. The methods and results presented in the book are useful for computer-aided diagnosis of breast cancer. Table of Contents: Computer-Aided Diagnosis of Breast Cancer / Detection and Analysis of\newline Breast Masses / Datasets of Images of Breast Masses / Methods for Fractal Analysis / Pattern Classification / Results of Classification of Breast Masses / Concluding Remarks. |
700 1# - AUTHOR 2 | |
Author 2 | Rangayyan, Rangaraj M. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01654-7 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2012. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biophysics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Technology and Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biophysics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical Engineering and Bioengineering. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1930-0336 |
912 ## - | |
-- | ZDB-2-SXSC |
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