Search Results - "Giambattista, Jonathan"
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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
Published in Radiotherapy and oncology (01-03-2020)“…•Deep learning-based auto-segmented contours (DC) can provide significant time savings.•DCs for organs at risk accurately reproduce expert contours.•DCs for…”
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Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers
Published in Radiation oncology (London, England) (08-06-2021)“…Purpose We recently described the validation of deep learning-based auto-segmented contour (DC) models for organs at risk (OAR) and clinical target volumes…”
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Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours
Published in Frontiers in oncology (07-06-2021)“…Deep learning-based auto-segmented contour (DC) models require high quality data for their development, and previous studies have typically used prospectively…”
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25: Implementation of Deep Learning-Based Auto-Segmentation for Radiotherapy Planning Structures: A Multi-Center Workflow Study
Published in Radiotherapy and oncology (01-09-2020)Get full text
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73: Applications of Deep Learning for Automatic Contouring of Tumours in the Brain
Published in Radiotherapy and oncology (01-09-2020)Get full text
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