Biology

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians

Name: Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians
Brand: Academic Press
SKU: 9780128220009
Price: 19384.00 INR
Availability: InStock
ISBN: 9780128220009

Contributor(s): Rosenstein, Barry S. Editor , Rattay, Tim Editor , Kang, John Editor Format: Paperback

Paperback · ISBN 9780128220009

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Key Specifications

ISBN	9780128220009
Publisher	Academic Press
Publication date	December 2023
Language	English
MRP	£138.00 GBP
Page count	480
Item weight	181 g

**Selected for 2025 Doody's Core Titles(R) in Radiation Oncology**

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.

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians

Key Specifications

Rosenstein, Barry S. Editor

Rattay, Tim Editor

Kang, John Editor

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