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Deep learning–based MRI-to-CT synthesis supports MR-only radiotherapy and PET/MR attenuation correction, but comparisons of U-Net variants are confounded by differences in datasets, preprocessing, training protocols, and evaluation metrics. This study performed a controlled, tissue-aware, and complexity-aware compariso...
Accurate three-dimensional dose prediction is important for automated treatment planning and radiotherapy in head and neck cancer. This study investigates an ensemble-based deep learning framework for dose prediction from computed tomography (CT) images and anatomical structures, with particular emphasis on structure-s...
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