Biomedical Image Understanding Methods and Applications |
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| Author:
| Lim, Joo-Hwee
Ong, Sim-Heng
Xiong, Wei |
| Series title: | Wiley Series in Biomedical Engineering and Multi-Disciplinary Integrated Systems Ser. |
| ISBN: | 978-1-118-71515-4 |
| Publication Date: | Feb 2015 |
| Publisher: | John Wiley & Sons, Incorporated
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| Book Format: | Hardback |
| List Price: | USD $173.95 |
Book Description:
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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...
More Description
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 context
- Describes important clinical applications, such as virtual colonoscopy, ocular disease diagnosis, and liver tumor detection
- Contains 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.