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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2016. gada 12. oktobris |
| ISBN13 | 9783319354644 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 336 |
| Izmēri | 234 × 155 × 23 mm · 598 g |
| Valoda | Vācu |
| Redaktors | El Naqa, Issam |
| Redaktors | Li, Ruijiang |
| Redaktors | Murphy, Martin J. |