Prediction of skin dose in low‐kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry
Abstract
Purpose
To implement a machine learning model to predict skin dose from targeted intraoperative (TARGIT) treatment resulting in timely adoption of strategies to limit excessive skin dose.
Publisher URL: https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.13379
DOI: 10.1002/mp.13379
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