MEDFAIR: Benchmarking Fairness for Medical Imaging

Understand

A multitude of work has shown that machine learning-based medical diagnosis systems can be biased against certain subgroups of people.

• This has motivated a growing number of bias mitigation algorithms that aim to address fairness issues in machine learning.
• However, it is difficult to compare their effectiveness in medical imaging for two reasons.
• First, there is little consensus on the criteria to assess fairness.