eBook - ePub
Machine Learning and Artificial Intelligence in Radiation Oncology
A Guide for Clinicians
- 462 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Machine Learning and Artificial Intelligence in Radiation Oncology
A Guide for Clinicians
About this book
Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology.
- Presents content written by practicing clinicians and research scientists, allowing a healthy mix of both new clinical ideas as well as perspectives on how to translate research findings into the clinic
- Provides perspectives from artificial intelligence (AI) industry researchers to discuss novel theoretical approaches and possibilities on academic collaborations
- Brings diverse points-of-view from an international group of experts to provide more balanced viewpoints on a complex topic
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Information
Table of contents
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Foreword from the editors
- Section I: Fundamentals and overview
- Section II: Research applications
- Section III: Clinical applications and future developments
- Index
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Yes, you can access Machine Learning and Artificial Intelligence in Radiation Oncology by Barry S. Rosenstein,Tim Rattay,John Kang in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over 1.5 million books available in our catalogue for you to explore.