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20232026
most citedTowards objective and systematic evaluation of bias in artificial intelligence for medical imaging

27 citations · 29 across the 7 of their papers we have counts for

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cs.CV2025

Exploring the interplay of label bias with subgroup size and separability: A case study in mammographic density classification

Emma A. M. Stanley, Raghav Mehta, Mélanie Roschewitz +2

Systematic mislabelling affecting specific subgroups (i.e., label bias) in medical imaging datasets represents an understudied issue concerning the fairness of medical AI systems.…