Biomedical Image Analysis: Statistical and Variational Methods
Aly A. Farag
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Description for Biomedical Image Analysis: Statistical and Variational Methods
hardcover. Ideal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis. Num Pages: 496 pages, 200 b/w illus. BIC Classification: MMP; MQW. Category: (U) Tertiary Education (US: College). Dimension: 181 x 249 x 27. Weight in Grams: 1114.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2014
Publisher
Cambridge University Press United Kingdom
Number of pages
400
Condition
New
Number of Pages
496
Place of Publication
Cambridge, United Kingdom
ISBN
9780521196796
SKU
V9780521196796
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-8
About Aly A. Farag
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 ... Read more
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