Rethinking fairness in medical imaging: Maximizing group-specific performance with application to skin disease diagnosis
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Recent efforts in medical image computing have focused on improving fairness by balancing it with accuracy within a single, unified model. However, this often creates a trade-off: gains for underrepresented groups can come at the expense of reduced accuracy fo... ...
