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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
Published on: April 11, 2018
Lukasz M Mazur1, Prithima R Mosaly1, Lesley M Hoyle1
1Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina.
Higher subjective workload levels correlate with increased errors in radiation therapy planning. This finding is particularly relevant for training programs in radiation oncology centers.
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