May 202020
 

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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