Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
Sign Up to like & getrecommendations! Published in 2020 at "Clinical and Translational Radiation Oncology"
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
Predicting the Effort Required to Manually Mend Auto-Segmentations.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3623042
Abstract: Auto-segmentation quality or accuracy influences their clinical usefulness. However, currently widely utilized segmentation metrics (e.g., Dice Coefficient (DC) and Hausdorff Distance (HD)) cannot effectively express the manual mending effort required when utilizing auto-segmentation results in… read more here.
Keywords: effort; segmentation; auto; effort required ... See more keywords