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Comparing Deep Learning-Based Auto-Segmentation Of Organs At Risk And Clinical Target Volumes To Expert Inter-Observer Variability In Radiotherapy Planning

Jordan Wong,Allan Fong,Nevin Mcvicar,Sally Smith,Derek Wells,Joshua Giambattista,Lovedeep Gondara,Carter Kolbeck,Jonathan Giambattista,Abraham Alexander

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS（2019）

Cited 130|Views23
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Abstract
•Deep learning-based auto-segmented contours (DC) can provide significant time savings.•DCs for organs at risk accurately reproduce expert contours.•DCs for target volumes are less accurate but may serve as a template for manual edits.
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Key words
Machine learning,Radiotherapy
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