Uncertainty Estimation for Heatmap-Based Landmark Localization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3222730
Abstract: Automatic anatomical landmark localization has made great strides by leveraging deep learning methods in recent years. The ability to quantify the uncertainty of these predictions is a vital component needed for these methods to be… read more here.
Keywords: based landmark; uncertainty; quantile binning; landmark localization ... See more keywords
Supporting Deep Neural Network Safety Analysis and Retraining Through Heatmap-Based Unsupervised Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2021.3074750
Abstract: Deep neural networks (DNNs) are increasingly important in safety-critical systems, for example, in their perception layer to analyze images. Unfortunately, there is a lack of methods to ensure the functional safety of DNN-based components. We… read more here.
Keywords: heatmap based; safety analysis; deep neural; analysis retraining ... See more keywords