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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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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
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 12. oktobra 2016 |
| ISBN13 | 9783319354644 |
| Založniki | Springer International Publishing AG |
| Strani | 336 |
| Dimenzije | 234 × 155 × 23 mm · 598 g |
| Jezik | Nemščina |
| Urednik | El Naqa, Issam |
| Urednik | Li, Ruijiang |
| Urednik | Murphy, Martin J. |
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