Deep Learning: A Review for the Radiation Oncologist
Introduction: Deep Learning (DL) is a machine learning technique that uses deep neural networks to create a model. The application areas of deep learning in radiation oncology include image segmentation and detection, image phenotyping, and radiomic signature discovery, clinical outcome prediction,...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2019-10-01
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| Seri Bilgileri: | Frontiers in Oncology |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/article/10.3389/fonc.2019.00977/full |
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