IADA is claimed to improve embryo-stage classification across four imaging modalities, but the supporting table lacks variance and includes AUC drops that contradict the advertised improvements across all scenarios.
Training cost-sensitive neural networks with methods addressing the class imbalance problem,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment
IADA is claimed to improve embryo-stage classification across four imaging modalities, but the supporting table lacks variance and includes AUC drops that contradict the advertised improvements across all scenarios.