Guide to Medical Image Analysis - Methods and Algorithms (Paperback, 2012 ed.)

This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advances in Computer Vision and Pattern Recognition
Release date:	April 2014
First published:	2012
Authors:	Klaus D. Toennies
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	468
Edition:	2012 ed.
ISBN-13:	978-1-4471-6096-0
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-4471-6096-7
Barcode:	9781447160960

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