HIGHLIGHTS
- who: Iona Foster et al. from the Department of Radiotherapy Physics, Velindre Cancer Centre, Cardiff , TL, UK have published the paper: Evaluating the Use of Machine Learning to Predict Expert-Driven Pareto-Navigated Calibrations for Personalised Automated Radiotherapy Planning, in the Journal: (JOURNAL)
- what: This work investigated using machine learning to personalise AP protocols for fully individualised planning. The approach is time consuming with improvements made only with respect to previously tried examples. To address this problem the authors propose a hybrid AP solution where KBP is utilised to predict patient specific AP protocol parameters . . .
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