Out-of-Distribution Detection in Point-of-Care Ultrasound Breast Imaging Using Variational Autoencoders
Out-of-distribution (OOD) detection is a crucial step in ensuring robustness and trustworthiness for deep learning (DL) models. This is particularly important for classification tasks in medical applications. Previous work has shown that point-of-care ultrasound (POCUS) imaging combined with a DL classification network could improve access to early breast cancer diagnosis. In this work, we investi
