Abstract: Highlights•Introduces a game-theoretic approach to enhance medical image segmentation generalization.•Proposes a Beta distribution-based domain selection optimized via reinforcement learning.•Achieves balanced performance across domains by reaching a Nash equilibrium during training.
External IDs:doi:10.1016/j.jbi.2025.104802
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