Biomedical Image Understanding – Methods and Appliations : Methods and Applications
Book Details
Format
Hardback or Cased Book
ISBN-10
1118715152
ISBN-13
9781118715154
Publisher
John Wiley & Sons Inc
Imprint
John Wiley & Sons Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
Apr 3rd, 2015
Print length
496 Pages
Weight
821 grams
Dimensions
24.40 x 16.30 x 3.20 cms
Product Classification:
Biomedical engineeringBiomedical engineering / Medical engineeringBiotechnology
Ksh 24,300.00
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Offers a comprehensive guide to understanding and interpreting digital images in medical and functional applications. This book focuses on image understanding and semantic interpretation, with clear introductions to related concepts and in-depth theoretical analysis. It is suitable for the reader interested in biomedical image understanding.
A comprehensive guide to understanding and interpreting digital images in medical and functional applications Biomedical Image Understanding focuses on image understanding and semantic interpretation, with clear introductions to related concepts, in-depth theoretical analysis, and detailed descriptions of important biomedical applications. It covers image processing, image filtering, enhancement, de-noising, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and data fusion. With contributions from experts in China, France, Italy, Japan, Singapore, the United Kingdom, and the United States, Biomedical Image Understanding: Addresses motion tracking and knowledge-based systems, two areas which are not covered extensively elsewhere in a biomedical contextDescribes important clinical applications, such as virtual colonoscopy, ocular disease diagnosis, and liver tumor detectionContains twelve self-contained chapters, each with an introduction to basic concepts, principles, and methods, and a case study or application With over 150 diagrams and illustrations, this bookis an essential resource for the reader interested in rapidly advancing research and applications in biomedical image understanding.
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