ESTRO 2024 - Abstract Book
S4421
Physics - Machine learning models and clinical applications
ESTRO 2024
sec, and prediction took on average 1.14 sec per scenario. Strategy (3) has the potential to scale up to larger scenario numbers.
Figure 1: Boxplots showing differences in plan parameters between the Erasmus-iCycle ground truth (GT) and predictions (pred) with the three investigated DL strategies, over all scenarios for the 78 test patients.
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