E Learning In Medical Physics And Engineering


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e-Learning in Medical Physics and Engineering


e-Learning in Medical Physics and Engineering

Author: Vassilka Tabakova

language: en

Publisher: CRC Press

Release Date: 2020-04-27


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The need for qualified specialists to work with and apply sophisticated technology in contemporary medicine is rapidly growing. Professional bodies predict that meeting the needs of healthcare globally will require almost tripling the number of Medical Physicists by 2035. Similar challenges exist in the constantly growing profession of Medical Engineering. They can be solved most efficiently and effectively with the tools of e-Learning, and a free and open-source Virtual Learning Environment (VLE) platform such as Moodle is a welcome solution. The Moodle VLE platform is a free, open source learning management system that is the most popular choice for higher educational institutions worldwide. However, the best practices of the Moodle system are still unknown to many. This practical guide provides educators, programme administrators, and programme directors with a condensed guide to Moodle and step-by-step instructions on how to create a single course or an entire educational programme. It also discusses cost-effective ways to apply e-Learning in an educational institution. This guide is accessible to all professionals, even those without specialist IT skills, and will be helpful to educators of all levels in Medical Physics and Engineering, as well as in other medical and medical-related specialties or disciplines with a strong imaging component. Features: Provides step-by-step instructions of how to build a course/module for Higher Education on Moodle Gives practical solutions to implementing e-Learning in Medical Physics and Engineering Explores useful tips and tricks for best practice

Machine Learning in Radiation Oncology


Machine Learning in Radiation Oncology

Author: Issam El Naqa

language: en

Publisher: Springer

Release Date: 2015-06-19


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​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany


World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany

Author: Olaf Dössel

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-01-06


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Present Your Research to the World! The World Congress 2009 on Medical Physics and Biomedical Engineering – the triennial scientific meeting of the IUPESM - is the world’s leading forum for presenting the results of current scientific work in health-related physics and technologies to an international audience. With more than 2,800 presentations it will be the biggest conference in the fields of Medical Physics and Biomedical Engineering in 2009! Medical physics, biomedical engineering and bioengineering have been driving forces of innovation and progress in medicine and healthcare over the past two decades. As new key technologies arise with significant potential to open new options in diagnostics and therapeutics, it is a multidisciplinary task to evaluate their benefit for medicine and healthcare with respect to the quality of performance and therapeutic output. Covering key aspects such as information and communication technologies, micro- and nanosystems, optics and biotechnology, the congress will serve as an inter- and multidisciplinary platform that brings together people from basic research, R&D, industry and medical application to discuss these issues. As a major event for science, medicine and technology the congress provides a comprehensive overview and in–depth, first-hand information on new developments, advanced technologies and current and future applications. With this Final Program we would like to give you an overview of the dimension of the congress and invite you to join us in Munich! Olaf Dössel Congress President Wolfgang C.