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Machine Learning and Artificial Intelligence in Radiation Oncology - A Guide for Clinicians (Paperback) Loot Price: R3,518
Discovery Miles 35 180
Machine Learning and Artificial Intelligence in Radiation Oncology - A Guide for Clinicians (Paperback): Barry S. Rosenstein,...

Machine Learning and Artificial Intelligence in Radiation Oncology - A Guide for Clinicians (Paperback)

Barry S. Rosenstein, Tim Rattay, John Kang

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Loot Price R3,518 Discovery Miles 35 180 | Repayment Terms: R330 pm x 12*

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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.

General

Imprint: Academic Press Inc
Country of origin: United States
Release date: December 2023
First published: 2024
Editors: Barry S. Rosenstein • Tim Rattay • John Kang
Dimensions: 234 x 191mm (L x W)
Format: Paperback
Pages: 300
ISBN-13: 978-0-12-822000-9
Categories: Books > Computing & IT > General
Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > Radiotherapy
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LSN: 0-12-822000-7
Barcode: 9780128220009

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