Benefits of deep learning for delineation of organs at risk in head and neck cancer

•Validation of automated delineation of organs at risk in head and neck cancer.•Automated delineation is more time efficient.•Automated delineation reduces interobserver variability. Precise delineation of organs at risk (OARs) in head and neck cancer (HNC) is necessary for accurate radiotherapy. Al...

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Veröffentlicht in:	Radiotherapy and oncology Jg. 138; S. 68 - 74
Hauptverfasser:	van der Veen, J., Willems, S., Deschuymer, S., Robben, D., Crijns, W., Maes, F., Nuyts, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.09.2019
Schlagworte:	Aged Aged, 80 and over Deep Learning Delineation Female Head and neck neoplasms Head and Neck Neoplasms - radiotherapy Hematology, Oncology, and Palliative Medicine Humans Male Middle Aged Neural Networks, Computer Observer Variation Organs at Risk Radiotherapy mm Acc Delineation Radiotherapy Observer variation S SG U Head and neck neoplasms PG Neural networks (computer) Organs at risk PCM ASSD RO IOVm millimetres accuracy of network upper parotid gland pharyngeal constrictor muscles average symmetric surface distance supra manual interobserver variability radiation oncologist submandibular gland
ISSN:	0167-8140, 1879-0887, 1879-0887
Online-Zugang:	Volltext
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