Edited by
David Feng, Biomedical & Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, and
Centre for Multimedia Signal Processing, Department of Electronic & Information Engineering, Hong Kong Polytechnic University
Description
The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and
organization of data. The field continues to evolve with the development of new applications to fit the needs of the biomedicine. From
molecular imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical
research and practice.
All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed
and utilized through data compression, modelling, processing, registration, visualization, communication, and large-scale biological
computing. In addition the book contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy,
and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging
applications.
Audience:
biomedical and clinical engineers; physicians and surgeons; health physicists; bioinformaticists; biomedical researchers, students, educators;
members of the basic science community; IT specialists, healthcare professionals and researchers.
