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.
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