AC-MIL adds an adversarial residual branch and spatial diversity constraint to multiple instance learning so that volume-level quality labels produce localized, interpretable concept maps while preserving competitive grading accuracy.
Europace23(3), 380–388 (Mar 2021)
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AC-MIL: Weakly Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement
AC-MIL adds an adversarial residual branch and spatial diversity constraint to multiple instance learning so that volume-level quality labels produce localized, interpretable concept maps while preserving competitive grading accuracy.