TY - BOOK ID - 8136039 TI - Advanced Computational Approaches to Biomedical Engineering AU - Saha, Punam K. AU - Maulik, Ujjwal. AU - Basu, Subhadip. PY - 2014 SN - 3642415385 3642415393 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Artificial intelligence. KW - Bioinformatics. KW - Biomedical engineering. KW - Biomedical materials. KW - Computer science. KW - Computer vision. KW - Engineering. KW - Models, Biological. KW - Biomedical engineering KW - Technology KW - Engineering KW - Biology KW - Investigative Techniques KW - Health Occupations KW - Technology, Industry, and Agriculture KW - Analytical, Diagnostic and Therapeutic Techniques and Equipment KW - Disciplines and Occupations KW - Biological Science Disciplines KW - Natural Science Disciplines KW - Technology, Industry, Agriculture KW - Biomedical Engineering KW - Models, Theoretical KW - Computational Biology KW - Methods KW - Biomedical Technology KW - Health & Biological Sciences KW - Computer simulation. KW - Data processing. KW - Clinical engineering KW - Medical engineering KW - Image processing. KW - Biomathematics. KW - Computational intelligence. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Computational Intelligence. KW - Computational Biology/Bioinformatics. KW - Image Processing and Computer Vision. KW - Mathematical and Computational Biology. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Mathematics KW - Bio-informatics KW - Biological informatics KW - Information science KW - Computational biology KW - Systems biology KW - Pictorial data processing KW - Picture processing KW - Processing, Image KW - Imaging systems KW - Optical data processing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Informatics KW - Science KW - Data processing KW - Bioengineering KW - Biophysics KW - Medicine KW - Artificial Intelligence. KW - Machine vision KW - Vision, Computer KW - Image processing KW - Pattern recognition systems KW - Construction KW - Industrial arts KW - Optical data processing. KW - Optical computing KW - Visual data processing KW - Integrated optics KW - Photonics KW - Computers KW - Optical equipment UR - https://www.unicat.be/uniCat?func=search&query=sysid:8136039 AB - There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction, and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences, and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies, and improve tools and techniques for the detection, prevention and treatment of diseases. The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers, and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology. ER -