Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer

Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer

Background and purpose: Automation is desirable for organ segmentation in radiotherapy. This study compared deep learning methods for auto-segmentation of organs-at-risk (OARs) and clinical target volume (CTV) in prostate cancer patients undergoing fractionated magnetic resonance (MR)-guided adaptiv...

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Bibliographic Details
Main Authors: Maria Kawula, Marica Vagni, Davide Cusumano, Luca Boldrini, Lorenzo Placidi, Stefanie Corradini, Claus Belka, Guillaume Landry, Christopher Kurz
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Auto-segmentation
Patient-specific models
Spatial transformer layer
Deep learning
MRgRT
MR-Linac
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631623000891

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http://www.sciencedirect.com/science/article/pii/S2405631623000891

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