Machine learning and artificial intelligence in radiation oncology : a guide for clinicians /
"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 l...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
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London, United Kingdom ; San Diego, CA :
Academic Press,
[2024]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "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."--Provided by publisher. |
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| Physical Description: | 1 online resource : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0128220015 9780128220016 |