Activities per year
Abstract
In landmark localization, due to ambiguities in defining their exact position, landmark annotations may suffer from both large inter- and intra-observer variabilites, which result in uncertain annotations. Therefore, predicting a single coordinate for a landmark is not sufficient for modeling the distribution of possible landmark locations. We propose to learn the Gaussian covariances of target heatmaps, such that covariances for pointed heatmaps correspond to more certain landmarks and covariances for flat heatmaps to more uncertain or ambiguous landmarks. By fitting Gaussian functions to the predicted heatmaps, our method is able to obtain landmark location distributions, which model location uncertainties. We show on a dataset of left hand radiographs and on a dataset of lateral cephalograms that the predicted uncertainties correlate with the landmark error, as well as inter-observer variabilities
Original language | English |
---|---|
Title of host publication | Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis |
Subtitle of host publication | Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings |
Place of Publication | Cham |
Publisher | Springer |
Pages | 42-51 |
Number of pages | 10 |
ISBN (Electronic) | 978-3-030-60365-6 |
ISBN (Print) | 978-3-030-60364-9 |
DOIs | |
Publication status | Published - 8 Oct 2020 |
Event | 2nd International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: UNSURE 2020 - Virtual, Lima, Peru Duration: 8 Oct 2020 → … |
Publication series
Name | Lecture Notes in Computer Science |
---|---|
Volume | 12443 |
Workshop
Workshop | 2nd International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging |
---|---|
Country/Territory | Peru |
City | Virtual, Lima |
Period | 8/10/20 → … |
Keywords
- Landmark localization
- Uncertainty estimation
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Activities
- 1 Talk at workshop, seminar or course
-
Uncertainty Estimation in Landmark Localization based on Gaussian Heatmaps
Christian Payer (Speaker)
8 Oct 2020Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science