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Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs

Machine learning (ML) has the potential to revolutionize the field of radiation oncology, but there is much work to be done. In this article, we approach the radiotherapy process from a workflow perspective, identifying specific areas where a data-centric approach using ML could improve the quality...

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Podrobná bibliografie
Vydáno v:Front Oncol
Hlavní autoři: Feng, Mary, Valdes, Gilmer, Dixit, Nayha, Solberg, Timothy D.
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2018
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5913324/
https://ncbi.nlm.nih.gov/pubmed/29719815
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2018.00110
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