SmartStu distills multiple teacher pathology models into compact breast-cancer encoders with an adversarial noise model and self-supervision, matching or improving external-cohort accuracy at over 30x smaller size.
Database2022, baac093 (2022)
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Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer
SmartStu distills multiple teacher pathology models into compact breast-cancer encoders with an adversarial noise model and self-supervision, matching or improving external-cohort accuracy at over 30x smaller size.