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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Detalles Bibliográficos
Autores principales: Boldrini, Luca, Bibault, Jean-Emmanuel, Masciocchi, Carlotta, Shen, Yanting, Bittner, Martin-Immanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779810/
https://www.ncbi.nlm.nih.gov/pubmed/31632910
http://dx.doi.org/10.3389/fonc.2019.00977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779810/
https://www.ncbi.nlm.nih.gov/pubmed/31632910
http://dx.doi.org/10.3389/fonc.2019.00977

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