Biomedical Image Understanding
eBook - ePub

Biomedical Image Understanding

Methods and Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Biomedical Image Understanding

Methods and Applications

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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Yes, you can access Biomedical Image Understanding by Joo-Hwee Lim,Sim-Heng Ong,Wei Xiong in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Series
  4. Copyright
  5. List of Contributors
  6. Preface
  7. Acronyms
  8. Part I: Introduction
  9. Part II: Segmentation and Object Detection
  10. Part III: Registration and Matching
  11. Part IV: Object Tracking
  12. Part V: Classification
  13. Part VI: Knowledge-Based Systems
  14. Index
  15. End User License Agreement