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Biomedical Image Understanding – Methods and Appliations: Wiley Series in Biomedical Engineering and Multi-Disciplinary Integrated Systems

Autor Lim
en Limba Engleză Hardback – 2 apr 2015

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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Specificații

ISBN-13: 9781118715154
ISBN-10: 1118715152
Pagini: 496
Dimensiuni: 164 x 245 x 31 mm
Greutate: 0.8 kg
Editura: Wiley
Seria Wiley Series in Biomedical Engineering and Multi-Disciplinary Integrated Systems

Locul publicării:Hoboken, United States

Public țintă

Researchers, teachers, and graduate students in biomedical imaging and biomedical engineering

Notă biografică


Descriere

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.