Small beams, fast predictions: a comparison of machine learning dose prediction models for proton minibeam therapy
Medical Physics2022Vol. 49(12), pp. 7791–7801
Citations Over TimeTop 18% of 2022 papers
Florian Mentzel, K. Kroeninger, Michael Lerch, O. Nackenhorst, Anatoly Rosenfeld, Ah Chung Tsoi, J. Weingarten, Markus Hagenbuchner, Susanna Guatelli
Abstract
This paper reveals that (1) all studied deep learning models are significantly faster than non-machine learning approaches predicting the dose in the order of seconds compared to hours for MC, (2) all models provide reasonable accuracy, and (3) the regression-trained 3D U-Net provides the most accurate predictions.
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