Biomedical Image Analysis

Statistical and Variational Methods

Nonfiction, Science & Nature, Technology, Engineering, Health & Well Being, Medical
Cover of the book Biomedical Image Analysis by Aly A. Farag, Cambridge University Press
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Author: Aly A. Farag ISBN: 9781139984522
Publisher: Cambridge University Press Publication: October 30, 2014
Imprint: Cambridge University Press Language: English
Author: Aly A. Farag
ISBN: 9781139984522
Publisher: Cambridge University Press
Publication: October 30, 2014
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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