DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks

The goal of this study is to demonstrate the feasibility of a novel fully-convolutional volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of prostate stereotactic body radiotherapy (SBRT) patients. DoseNet is suggested as a superior alternative to U-Net and ful...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Physics in medicine & biology 2018-12, Vol.63 (23), p.235022-235022
Hauptverfasser:	Kearney, Vasant, Chan, Jason W, Haaf, Samuel, Descovich, Martina, Solberg, Timothy D
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms automated treatment planning convolutional neural networks deep learning dose prediction Humans knowledge based planning machine learning Neural Networks (Computer) radiation oncology Radiosurgery - methods Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!