Cover has significant scuffing; contents all fine. No marks in text. Not a library book. Ships today in a cardboard enclosure. Thanks, from Tim's Used Books, providers of good books at fair prices on the same spot (Provincetown USA) since 1991.

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Bibliographic Details

Title: Biomedical Image Analysis: Statistical and Variational Methods
Publisher: Cambridge University Press
Publication Date: 2014
Language: English
ISBN 10: 0521196795
ISBN 13: 9780521196796
Binding: Hardcover
Edition: 1st Edition
Condition: Good

About this title

Synopsis

Ideal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis, covering segmentation, registration and visualisation, and focusing on the key theories, algorithms and applications that have emerged from recent progress in computer vision, imaging and computational biomedical science. Structured around five core building blocks - signals, systems, image formation and modality; stochastic models; computational geometry; level set methods; and tools and CAD models - it provides a solid overview of the field. Mathematical and statistical topics are presented in a straightforward manner, enabling the reader to gain a deep understanding of the subject without becoming entangled in mathematical complexities. Theory is connected to practical examples in x-ray, ultrasound, nuclear medicine, MRI and CT imaging, removing the abstract nature of the models and assisting reader understanding.

About the Author

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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