Machine Learning in Radiation Oncology: Theory and Applications - - Books - Springer International Publishing AG - 9783319354644 - October 12, 2016
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Machine Learning in Radiation Oncology: Theory and Applications Softcover reprint of the original 1st ed. 2015 edition

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This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy.

350 pages, 60 black & white illustrations, 67 colour illustrations, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released October 12, 2016
ISBN13 9783319354644
Publishers Springer International Publishing AG
Pages 336
Dimensions 234 × 155 × 23 mm   ·   598 g
Language German  
Editor El Naqa, Issam
Editor Li, Ruijiang
Editor Murphy, Martin J.

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