Seller: Majestic Books, Hounslow, United Kingdom
US$ 179.08
Quantity: 3 available
Add to basketCondition: New. pp. 300.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 300 1st Edition.
Language: English
Published by Elsevier Science Publishing Co Inc, 2023
ISBN 10: 0128220007 ISBN 13: 9780128220009
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 201.68
Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 300.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 214.62
Quantity: Over 20 available
Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 223.13
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 249.44
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
US$ 242.93
Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Presents content written by practicing clinicians and research scientists, allowing a healthy mix of both new clinical ideas as well as perspectives on how to translate research findings into the clinicProvides perspectives from artificial .
Language: English
Published by Elsevier Science Publishing Co Inc Dez 2023, 2023
ISBN 10: 0128220007 ISBN 13: 9780128220009
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - 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.
Condition: new. Questo è un articolo print on demand.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 183.51
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 300 pages. 9.25x7.50x0.87 inches. In Stock. This item is printed on demand.