Language: English
Published by Morgan & Claypool Publishers, 2013
ISBN 10: 1627050825 ISBN 13: 9781627050821
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Language: English
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1681731568 ISBN 13: 9781681731568
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Language: English
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1681731568 ISBN 13: 9781681731568
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Language: English
Published by Morgan & Claypool., Kentfield, USA, 2017
ISBN 10: 1681731568 ISBN 13: 9781681731568
Seller: Philip Gibbons Books, Newcastle Emlyn, United Kingdom
First Edition
Softcover/Paperback. Condition: As New. No Jacket. First Edition. (Synthesis Lectures on Biomedical Engineering). A digital text - this copy printed in the UK. Quarto-size, 188 pages (xx, 168), numerous images, some in colour, charts, tables &c. bibliography. As new, unread. Pictures show this actual book. UK orders are post-free.
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Language: English
Published by Springer International Publishing, 2012
ISBN 10: 3031005260 ISBN 13: 9783031005268
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 ofnewline Breast Masses / Datasets of Images of Breast Masses / Methods for Fractal Analysis / Pattern Classification / Results of Classification of Breast Masses / Concluding Remarks.
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2nd edition. 720 pages. 10.00x6.50x1.50 inches. In Stock.
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Language: English
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1119825857 ISBN 13: 9781119825852
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Hardcover. Condition: new. Hardcover. Biomedical Signal Analysis Comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors research work. Each chapter begins with the statement of a biomedical signal problem, followed by a selection of real-life case studies and illustrations with the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple textbook methods, followed by more sophisticated research-informed approaches. Each chapter concludes with solutions to practical applications. Illustrations of real-life biomedical signals and their derivatives are included throughout. The third edition expands on essential background material and advanced topics without altering the underlying pedagogical approach and philosophy of the successful first and second editions. The book is enhanced by a large number of study questions and laboratory exercises as well as an online repository with solutions to problems and data files for laboratory work and projects. Biomedical Signal Analysis provides theoretical and practical information on: The origin and characteristics of several biomedical signalsAnalysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apneaFiltering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processesDetection and characterization of events, covering methods for QRS detection, identification of heart sounds, and detection of the dicrotic notchAnalysis of waveshape and waveform complexityInterpretation and analysis of biomedical signals in the frequency domainMathematical, electrical, mechanical, and physiological modeling of biomedical signals and systemsSophisticated analysis of nonstationary, multicomponent, and multisource signals using wavelets, time-frequency representations, signal decomposition, and dictionary-learning methods Pattern classification and computer-aided diagnosis Biomedical Signal Analysis is an ideal learning resource for senior undergraduate and graduate engineering students. Introductory sections on signals, systems, and transforms make this book accessible to students in disciplines other than electrical engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367876280 ISBN 13: 9780367876289
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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