Investigating the potential of deep learning for patient-specific quality assurance of salivary gland contours using EORTC-1219-DAHANCA-29 clinical trial data
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DOI: 10.1080/0284186x.2020.1863463
Abstract: Abstract Introduction Manual quality assurance (QA) of radiotherapy contours for clinical trials is time and labor intensive and subject to inter-observer variability. Therefore, we investigated whether deep-learning (DL) can provide an automated solution to salivary… read more here.
Keywords: eortc 1219; sub optimal; 1219 dahanca; quality assurance ... See more keywords