Biomedical Image Analysis: Statistical and Variational Methods

Author:   Aly A. Farag (University of Louisville, Kentucky)
Publisher:   Cambridge University Press
ISBN:  

9780521196796


Pages:   496
Publication Date:   30 October 2014
Format:   Hardback
Availability:   Available To Order   Availability explained
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Biomedical Image Analysis: Statistical and Variational Methods


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Author:   Aly A. Farag (University of Louisville, Kentucky)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 17.80cm , Height: 2.70cm , Length: 25.20cm
Weight:   1.100kg
ISBN:  

9780521196796


ISBN 10:   0521196795
Pages:   496
Publication Date:   30 October 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. Overview of biomedical image analysis; Part I. Signals and Systems, Image Formation, and Image Modality: 2. Overview of two-dimensional signals and systems; 3. Biomedical imaging modalities; Part II. Stochastic Models: 4. Random variables; 5. Random processes; 6. Basics of random fields; 7. Probability density estimation by linear models; Part III. Computational Geometry: 8. Basics of topology and computational geometry; 9. Geometric features extraction; Part IV. Variational Calculus and Level Set Methods: 10. Variational approaches and level sets; Part V. Image Analysis Tools: 11. Segmentation – statistical approach; 12. Segmentation – variational approach; 13. Basics of registration; 14. Variational methods for shape registrations; 15. Statistical models of shape and appearance.

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Author Information

Aly A. Farag is a Professor of Electrical and Computer Engineering, and founding Director of the Computer Vision and Image Processing Laboratory, at the University of Louisville. His research interests centre around object modelling with biomedical applications, and his more recent biomedical inventions have led to the development of improved methods for tubular object modelling, virtual colonoscopies and lung nodule detection and classification based on CT scans, real-time monitoring of vital signs from thermal imaging, and image-based reconstruction of the human jaw.

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