Overview
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 31)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (30 papers)
-
Front Matter
Keywords
About this book
This book is a compendium of the ICCMIA 2018 proceedings, which provides an ideal reference for all medical imaging researchers and professionals to explore innovative methods and analyses on imaging technologies for better prospective patient care.
This work serves as an exclusive source for new computer assisted clinical and medical developments in imaging diagnosis, intervention and analysis. It includes articles on computer assisted medical scanning techniques, computer-aided diagnosis, robotic surgery and imaging, imaging genomics, clinically-oriented imaging physics and informatics, augmented-reality medical visualization, imaging modalities, computerized radiology, oncology, and surgery. Moreover, information on non-medical imaging that has medical applications such as multi-photon microscopy and confocal, photoacoustic imaging, optical microendoscope, infra-red radiation, and other imaging modalities is also represented.
Editors and Affiliations
Bibliographic Information
Book Title: Computer Aided Intervention and Diagnostics in Clinical and Medical Images
Editors: J. Dinesh Peter, Steven Lawrence Fernandes, Carlos Eduardo Thomaz, Serestina Viriri
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-3-030-04061-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-04060-4Published: 02 January 2019
eBook ISBN: 978-3-030-04061-1Published: 01 January 2019
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: VII, 301
Number of Illustrations: 41 b/w illustrations, 95 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Signal, Image and Speech Processing, Image Processing and Computer Vision
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Materials & Steel, Oil, Gas & Geosciences, Pharma