Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset

Understand

The reliability of machine learning models can be compromised when trained on low quality data.

• Many large-scale medical imaging datasets contain low quality labels extracted from sources such as medical reports.
• Moreover, images within a dataset may have heterogeneous quality due to artifacts and biases arising from equipment or measurement errors.
• Therefore, algorithms that can automatically identify low quality data are highly desired.