Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset
Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset
Abstract 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 …