Random sampling and deep ensembles beat annotation averaging for landmark detection, and a new weighted coordinate variance metric tracks detection error.
Unsupervised landmark detection and classification of lung infection using transporter neural networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.