Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric Evaluation

Organ-at-risk (OAR) delineation is a key step in treatment planning but can be time consuming, resource intensive, subject to variability, and dependent on anatomical knowledge. We studied deep learning (DL) for automated delineation of multiple OARs; in addition to geometric evaluation, the dosimet...

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Veröffentlicht in:	International journal of radiation oncology, biology, physics biology, physics, 2019-07, Vol.104 (3), p.677-684
Hauptverfasser:	van Rooij, Ward, Dahele, Max, Ribeiro Brandao, Hugo, Delaney, Alexander R., Slotman, Berend J., Verbakel, Wilko F.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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