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Machine Learning and Artificial Intelligence in Radiation Oncology : A Guide for Clinicians, Paperback / softback Book

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

Edited by Barry S. (Professor of Radiation Oncology, and Genetics and Genomic Sciences, Icahn Scho Rosenstein, Tim (Associate Professor in Breast Surgery at the University of Leicester and Consultant Bre Rattay, John (Assistant Professor and Biomedical Informatics Lead, Dept. of Radiation Oncology, Univer Kang

Paperback / softback

Available to Order - This title is available to order, with delivery expected within 2 weeks

Description

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.

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£138.00

Available to Order - This title is available to order, with delivery expected within 2 weeks
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