We create an informatics web application which uses algorithmic analysis of historical cases to introduce uniformity and data driven methods into the radiation therapy treatment process by providing treatment planning templates and treatment benchmarking. The database the system uses consists of historical DICOM RT objects from which we extract spatial quantitative features. These values are used to generate a list of historical cases from our database similar to a current case which a physician can then use as templates for treatment planning. Our system aims to introduce uniformity of methods and data driven methods into radiation therapy treatment planning.
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