Convolutional neural networks (CNNs) are increasingly being explored and used for a variety of classification tasks in medical imaging, but current methods for post hoc explainability are limited. Most commonly used methods highlight portions of the input image that contribute to classification. While this provides a form of spatial localization relevant for focal disease processes, it may not be…