Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data.
Christiaan G. A. ViviersM. M. Amaan ValiuddinPeter H. N. de WithFons van der SommenPublished in: CoRR (2023)
Keyphrases
- medical data
- medical images
- uncertain data
- medical data mining
- clinical data
- imaging modalities
- medical information
- medical records
- image segmentation
- level set
- conditional probabilities
- probability theory
- segmentation algorithm
- patient outcomes
- medical diagnosis
- probabilistic model
- medical data sets
- segmentation method
- patient data
- ct images
- accurate segmentation
- medical image analysis
- image analysis
- decision theory
- bayesian networks
- data mining
- belief functions
- quantitative evaluation
- shape prior
- clinical practice
- data miners
- region of interest
- shape model
- data sets
- privacy sensitive