Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.
M. M. Amaan ValiuddinChristiaan G. A. ViviersRuud J. G. van SlounPeter H. N. de WithFons van der SommenPublished in: CoRR (2023)
Keyphrases
- medical imaging
- medical images
- image segmentation
- x ray
- medical image processing
- image registration
- image processing
- image analysis
- volumetric data
- image processing and analysis
- magnetic resonance images
- ct images
- anatomical structures
- clinical practice
- imaging modalities
- image guided surgery
- computed tomography
- medical image analysis
- magnetic resonance imaging
- brain mr images
- computer aided diagnosis
- computer vision
- biomedical engineering
- surface registration
- shape analysis
- three dimensional
- computer vision and image processing
- medical image segmentation
- image guided
- mri scans
- mri brain
- biomedical images
- quantitative evaluation
- fully automatic
- medical diagnosis
- region growing
- biomedical imaging
- pattern recognition