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adilrasheed139 / Fairness-Auditing-and-Mitigation-in-Cardiac-MRI-Segmentation-From-Data-Imbalance-to-Vendor-Bias

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This study audits and mitigates fairness issues in cardiac MRI segmentation across SIEMENS, Philips, and GE scanners. A baseline 2D U-Net showed spurious vendor bias, particularly for the minority GE domain. Implementing a Domain Adversarial Neural Network reduced F1-Score disparity, stabilizing recall and improving clinical safety.

auditing pytorch mri segmentation deeplearning equity bias fairness mitigation u-net medicalai dann medicalimaging domain-adversarial-neural-networks healthcareai cardiacmri dataimbalance vendorbias clinicalai
  • Updated Dec 20, 2025
  • Jupyter Notebook

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