Sonja Dieterich – författare
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4 produkter
4 produkter
Häftad, Engelska, 2015
1 047 kr
Skickas inom 10-15 vardagar
Perfect for radiation oncologists, medical physicists, and residents in both fields, Practical Radiation Oncology Physics provides a concise and practical summary of the current practice standards in therapeutic medical physics. A companion to the fourth edition of Clinical Radiation Oncology, by Drs. Leonard Gunderson and Joel Tepper, this indispensable guide helps you ensure a current, state-of-the art clinical practice.
Häftad, Engelska, 2027
1 214 kr
Kommande
As modern radiation therapy grows more complex and precision is even more critical, clinicians and physicists need a clear, accessible resource that translates current best practices into actionable guidance. Radiation Oncology Physics, 2nd Edition, offers concise, practice-focused information on the current technologies, processes, and safety principles that support safe and effective patient care across today’s radiation oncology departments. This fully revised edition provides streamlined coverage of fundamentals, external beam therapy, brachytherapy, imaging, and emerging modalities such as MR-guided and particle therapy-all of the important content you need in a clinically focused, best practice handbook.
Häftad, Tyska, 2017
505 kr
Skickas inom 10-15 vardagar
Sonja Dieterich zeigt, dass die Natur der Phasenumwandlung von der smektischen A- in die smektische C-Phase ein wichtiges Kriterium für die Anwendbarkeit des Langevin-Modells ist, welches das elektrooptische Verhalten von Flüssigkristallen vom de Vries-Typ beschreibt.
Inbunden, Engelska, 2023
1 974 kr
Skickas inom 3-6 vardagar
The clinical use of Artificial Intelligence (AI) in radiation oncology is in its infancy. However, it is certain that AI is capable of making radiation oncology more precise and personalized with improved outcomes. Radiation oncology deploys an array of state-of-the-art technologies for imaging, treatment, planning, simulation, targeting, and quality assurance while managing the massive amount of data involving therapists, dosimetrists, physicists, nurses, technologists, and managers. AI consists of many powerful tools which can process a huge amount of inter-related data to improve accuracy, productivity, and automation in complex operations such as radiation oncology.This book offers an array of AI scientific concepts, and AI technology tools with selected examples of current applications to serve as a one-stop AI resource for the radiation oncology community. The clinical adoption, beyond research, will require ethical considerations and a framework for an overall assessment of AI as a set of powerful tools.30 renowned experts contributed to sixteen chapters organized into six sections: Define the Future, Strategy, AI Tools, AI Applications, and Assessment and Outcomes. The future is defined from a clinical and a technical perspective and the strategy discusses lessons learned from radiology experience in AI and the role of open access data to enhance the performance of AI tools. The AI tools include radiomics, segmentation, knowledge representation, and natural language processing. The AI applications discuss knowledge-based treatment planning and automation, AI-based treatment planning, prediction of radiotherapy toxicity, radiomics in cancer prognostication and treatment response, and the use of AI for mitigation of error propagation. The sixth section elucidates two critical issues in the clinical adoption: ethical issues and the evaluation of AI as a transformative technology.