Calculating Radiation Doses for Tumor Treatment with Learning Algorithms | SciPy 2017 | Roy Keyes

Central to the planning of radiation therapy for cancer treatment is the calculation of radiation dose delivered to a patient. The optimization and subsequent delivery of a radiation therapy plan is only as good as the accuracy of the underlying radiation dose estimate. This work recasts the radiation dose estimation problem as a supervised regression task, with the goal of approximating slow, but accurate Monte Carlo-based dose calculations to within clinically acceptable error levels by using a fast to run machine learning algorithm.

[@daraamir8757]

nice,,,, informative video

[@enthought]

See the complete SciPy 2017 Conference talk & tutorial playlist here: th-cam.com/play/PLYx7XA2nY5GfdAFycPLBdUDOUtdQIVoMf.html

[@abdelhaksaouli8802]

any paper ?