A reproducible data-driven parameter optimization framework for classical skull stripping methods across heterogeneous brain MRI datasets
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Accurate skull stripping is a critical preprocessing step for reliable brain MRI analysis, yet the performance of classical algorithms remains highly sensitive to parameter selection. This study proposes a statistically reproducible, dataset-level parameter re... ...
