Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Abstract

Uncertainty estimation, which provides a means of building explainable neural networks for medical imaging applications, have mostly been studied for single deep learning models that focus on a specific task. In this paper, we propose a method to propagate...