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Machine Learning in Radiation Oncology: Theory and Applications Softcover reprint of the original 1st ed. 2015 edition
Machine Learning in Radiation Oncology: Theory and Applications
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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 12 de octubre de 2016 |
| ISBN13 | 9783319354644 |
| Editores | Springer International Publishing AG |
| Páginas | 336 |
| Dimensiones | 234 × 155 × 23 mm · 598 g |
| Lengua | Alemán |
| Editor | El Naqa, Issam |
| Editor | Li, Ruijiang |
| Editor | Murphy, Martin J. |