Clinical utility of convolutional neural networks for treatment planning in radiotherapy for spinal metastases

Clinical utility of convolutional neural networks for treatment planning in radiotherapy for spinal metastases

Background and purpose: Spine delineation is essential for high quality radiotherapy treatment planning of spinal metastases. However, manual delineation is time-consuming and prone to interobserver variability. Automatic spine delineation, especially using deep learning, has shown promising results...

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Bibliographic Details
Main Authors: Sebastiaan R.S. Arends, Mark H.F. Savenije, Wietse S.C. Eppinga, Joanne M. van der Velden, Cornelis A.T. van den Berg, Joost J.C. Verhoeff
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Spinal metastases
Deep learning
Artificial intelligence
Auto-segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000094

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http://www.sciencedirect.com/science/article/pii/S2405631622000094

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