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A diffusion model can generate high-quality synthetic chromosome images, boosting anomaly detection by nearly 14% F1 score and reducing reliance on scarce real-world abnormal samples.
Standard text normalization for medical reports is leaving performance on the table: structuring reports into anatomy-grounded triplets unlocks significant gains in medical vision-language pretraining.
