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![]( "Buchcover ISBN 9781118715161")
A comprehensive guide to understanding and interpretingdigital images in medical and functional applications
Biomedical Image Understanding focuses on imageunderstanding and semantic interpretation, with clear introductionsto related concepts, in-depth theoretical analysis, and detaileddescriptions of important biomedical applications. It covers imageprocessing, image filtering, enhancement, de-noising, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and datafusion.
With contributions from experts in China, France, Italy, Japan, Singapore, the United Kingdom, and the United States, BiomedicalImage Understanding:
* Addresses motion tracking and knowledge-based systems, twoareas which are not covered extensively elsewhere in a biomedicalcontext
* Describes important clinical applications, such as virtualcolonoscopy, ocular disease diagnosis, and liver tumordetection
* Contains twelve self-contained chapters, each with anintroduction to basic concepts, principles, and methods, and a casestudy or application
With over 150 diagrams and illustrations, this bookis anessential resource for the reader interested in rapidly advancingresearch and applications in biomedical image understanding.
Biomedical Image Understanding focuses on imageunderstanding and semantic interpretation, with clear introductionsto related concepts, in-depth theoretical analysis, and detaileddescriptions of important biomedical applications. It covers imageprocessing, image filtering, enhancement, de-noising, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and datafusion.
With contributions from experts in China, France, Italy, Japan, Singapore, the United Kingdom, and the United States, BiomedicalImage Understanding:
* Addresses motion tracking and knowledge-based systems, twoareas which are not covered extensively elsewhere in a biomedicalcontext
* Describes important clinical applications, such as virtualcolonoscopy, ocular disease diagnosis, and liver tumordetection
* Contains twelve self-contained chapters, each with anintroduction to basic concepts, principles, and methods, and a casestudy or application
With over 150 diagrams and illustrations, this bookis anessential resource for the reader interested in rapidly advancingresearch and applications in biomedical image understanding.
