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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,...
Tallennettuna:
| Julkaisussa: | Front Oncol |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6779810/ https://ncbi.nlm.nih.gov/pubmed/31632910 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2019.00977 |
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