Uncertainty Estimation for Heatmap-Based Landmark Localization
Author:
Affiliation:
1. Department of Computer Science, University of Sheffield, Sheffield, U.K
2. Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, U.K
Funder
Engineering and Physical Sciences Research Council
Wellcome Trust
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/10091712/09953741.pdf?arnumber=9953741
Reference34 articles.
1. Quantized Densely Connected U-Nets for Efficient Landmark Localization
2. Modeling annotation uncertainty with Gaussian heatmaps in landmark localization;thaler;Journal of Machine Learning for Biomedical Imaging,2021
3. Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms
4. Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks
5. Stacked Hourglass Network for Robust Facial Landmark Localisation
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