A shared multi-task network that predicts contours and dose maps together improves dose prediction relative to sequential contouring-plus-planning models, while a CT-only baseline sometimes does better.
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
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Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
A shared multi-task network that predicts contours and dose maps together improves dose prediction relative to sequential contouring-plus-planning models, while a CT-only baseline sometimes does better.