Biomedical Image Understanding
Methods and Applications
Nonfiction, Science & Nature, Technology, Electronics, Digital
| Author: | Joo-Hwee Lim, Sim-Heng Ong, Wei Xiong | ISBN: | 9781118957578 |
| Publisher: | Wiley | Publication: | February 9, 2015 |
| Imprint: | Wiley | Language: | English |
| Author: | Joo-Hwee Lim, Sim-Heng Ong, Wei Xiong |
| ISBN: | 9781118957578 |
| Publisher: | Wiley |
| Publication: | February 9, 2015 |
| Imprint: | Wiley |
| Language: | English |
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.
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.
