Random sampling and deep ensembles beat annotation averaging for landmark detection, and a new weighted coordinate variance metric tracks detection error.
Label-free segmentation of COVID-19 lesions in lung CT,
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Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
Random sampling and deep ensembles beat annotation averaging for landmark detection, and a new weighted coordinate variance metric tracks detection error.