
Biomedical Image Understanding
Methods and Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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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Information
Table of contents
- Cover
- Title Page
- Series
- Copyright
- List of Contributors
- Preface
- Acronyms
- Part I: Introduction
- Part II: Segmentation and Object Detection
- Part III: Registration and Matching
- Part IV: Object Tracking
- Part V: Classification
- Part VI: Knowledge-Based Systems
- Index
- End User License Agreement