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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
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2016年10月12日 |
| ISBN13 | 9783319354644 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 336 |
| 寸法 | 234 × 155 × 23 mm · 598 g |
| 言語 | ドイツ語 |
| 編集者 | El Naqa, Issam |
| 編集者 | Li, Ruijiang |
| 編集者 | Murphy, Martin J. |
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