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Machine Learning and Artificial Intelligence in Radiation Oncology
ISBN: 9780128220009
Published: 2023
Publisher: Academic Press
Language: English
Format: Paperback / softback
Format: 9.21×7.5
Published: 2023
Publisher: Academic Press
Language: English
Format: Paperback / softback
Format: 9.21×7.5
Description
<i>Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians</i> 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. <br><br>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.
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