Guide to medical image analysis : methods and algorithms
Author(s)
Bibliographic Information
Guide to medical image analysis : methods and algorithms
（Advances in computer vision and pattern recognition / Sameer Singh, Sing Bing Kang, series editors）
Springer, c2017
2nd ed
- : [hardback]
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.
Table of Contents
The Analysis of Medical Images
Digital Image Acquisition
Image Storage and Transfer
Image Enhancement
Feature Detection
Segmentation: Principles and Basic Techniques
Segmentation in Feature Space
Segmentation as a Graph Problem
Active Contours and Active Surfaces
Registration and Normalization
Shape, Appearance and Spatial Relationships
Classification and Clustering
Validation
Appendix
by "Nielsen BookData"