Dose-volume-based evaluation of convolutional neural network-based auto-segmentation of thoracic organs at risk

Dose-volume-based evaluation of convolutional neural network-based auto-segmentation of thoracic organs at risk

Background and purpose: The geometrical accuracy of auto-segmentation using convolutional neural networks (CNNs) has been demonstrated. This study aimed to investigate the dose-volume impact of differences between automatic and manual OARs for locally advanced (LA) and peripherally located early-sta...

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Bibliographic Details
Main Authors: Noémie Johnston, Jeffrey De Rycke, Yolande Lievens, Marc van Eijkeren, Jan Aelterman, Eva Vandersmissen, Stephan Ponte, Barbara Vanderstraeten
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Lung cancer
Radiotherapy
Treatment planning
Dose
Volume
Dice
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000677

Internet

http://www.sciencedirect.com/science/article/pii/S2405631622000677

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