To investigate the difference in gamma passing rate and dose profile of measurement of patient specific quality assurance (PSQA) of SBRT plans using the SNC ArcCHECK in single measurement and high-density diode merge measurement.
Author profile
Jun Lian, PhD
University of North Carolina at Chapel Hill
To integrate qualitative assessments from experienced treatment planners with quantitative geometric comparisons to evaluate the clinical utility of a deep learning (DL)-based auto-segmentation tool and establish performance criteria grounded in clinical usab...
Training nnU-Net models for medical image segmentation with large patient samples is computationally expensive, limiting iteration speed in research and clinical translation. We present an optimized training workflow that significantly accelerates nnU-Net tra...
Accurate multi-organ auto-segmentation is essential for efficient clinical workflows. Although nnU-Net-based models like TotalSegmentator achieve strong baseline performance, residual errors can lead to boundary outliers that require time-consuming manual cor...