Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth

•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.