Validation of a deep-learning segmentation model for adult and pediatric head and neck radiotherapy in different patient positions.

Autor: Chen L; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria.; Erasmus MC Cancer Institute, University Medical Center, Department of Radiotherapy, Rotterdam, the Netherlands.; Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering, Delft, the Netherlands.; Leiden University Medical Center, Faculty of Medicine, Leiden, the Netherlands., Platzer P; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria.; Fachhochschule Wiener Neustadt, Department MedTech, Wiener Neustadt, Austria., Reschl C; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria., Schafasand M; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria.; Medical University of Vienna, Department of Radiation Oncology, Vienna, Austria.; Karl Landsteiner University of Health Sciences, Department of Oncology, Krems an der Donau, Austria., Nachankar A; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria.; ACMIT Gmbh, Department of Medicine, Wiener Neustadt, Austria., Lukas Hajdusich C; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria., Kuess P; Medical University of Vienna, Department of Radiation Oncology, Vienna, Austria., Stock M; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria.; Karl Landsteiner University of Health Sciences, Department of Oncology, Krems an der Donau, Austria., Habraken S; Erasmus MC Cancer Institute, University Medical Center, Department of Radiotherapy, Rotterdam, the Netherlands.; Holland Proton Therapy Center, Department of Medical Physics & Informatics, Delft, the Netherlands., Carlino A; MedAustron Ion Therapy Center, Department of Medical Physics, Wiener Neustadt, Austria.

Publikováno v: Physics and imaging in radiation oncology [Phys Imaging Radiat Oncol] 2023 Dec 27; Vol. 29, pp. 100527. Date of Electronic Publication: 2023 Dec 27 (Print Publication: 2024).