Validation of a deep-learning segmentation model for adult and pediatric head and neck radiotherapy in different patient positions
Background and purpose: Autocontouring for radiotherapy has the potential to significantly save time and reduce interobserver variability. We aimed to assess the performance of a commercial autocontouring model for head and neck (H&N) patients in eight orientations relevant to particle therapy w...
Main Authors: | Linda Chen, Patricia Platzer, Christian Reschl, Mansure Schafasand, Ankita Nachankar, Christoph Lukas Hajdusich, Peter Kuess, Markus Stock, Steven Habraken, Antonio Carlino |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
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Series: | Physics and Imaging in Radiation Oncology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405631623001185 |
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