Radiation oncology informatics includes informatics from the perspectives of every discipline involved in radiation oncology. As there are many open questions and an abundance of data, machine learning technologies can be valuable. Available data includes handwritten notes on paper, imaging data available in digital formats, radiation treatment plan details, financial data, and multilevel multicenter databases, to name a few. Tools of various complexity for various goals are available. The following chapter aims to portray this domain and present a selection of available tools.
CITATION STYLE
Putora, P. M., Peters, S., & Bovet, M. (2015). Informatics in Radiation Oncology. In Machine Learning in Radiation Oncology (pp. 57–70). Springer International Publishing. https://doi.org/10.1007/978-3-319-18305-3_5
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