Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models
Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models explores A foundation model for radiology that significantly outperforms existing models on vision-focused tasks and competes on clinical tasks, with weights to be released.. Commercial viability score: 7/10 in Medical AI.
Updated 3 hours ago
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