Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
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DOI: 10.1016/j.ctro.2020.09.004
Abstract: Highlights • The network provided auto-segmentations with high overlap with ground truth volumes.• Evaluation of femoral heads/bladder auto-segmentations showed highest overlap.• Annotated structure sets from daily clinical practice is feasible as ground truth. read more here.
Keywords: ground truth; structure sets; network; auto segmentations ... See more keywords