Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.
Léo LebratRodrigo Santa CruzReuben DorentJavier Urriola YaksicAlex M. PagnozziGregg BelousPierrick BourgeatJurgen FrippClinton FookesOlivier SalvadoPublished in: ISBI (2023)
Keyphrases
- learning models
- learning algorithm
- machine learning
- learning tasks
- medical imaging
- segmentation method
- machine learning algorithms
- loss function
- segmentation algorithm
- conditional random fields
- semi supervised learning
- classification models
- level set
- image segmentation
- medical images
- learning paradigms
- text classification
- data sets
- energy function
- learning problems
- sparse metric learning
- unsupervised learning
- graphical models
- semi supervised
- prior knowledge
- training data
- machine learning models