Perturb-and-Restore: Simulation-driven Structural Augmentation Framework for Imbalance Chromosomal Anomaly Detection
Perturb-and-Restore: Simulation-driven Structural Augmentation Framework for Imbalance Chromosomal Anomaly Detection explores A simulation-driven framework that generates synthetic chromosomal data to overcome severe imbalance and scarcity for state-of-the-art anomaly detection in genetic disorders.. Commercial viability score: 8/10 in Medical AI.
Updated 23 hours ago
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