Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts.
Carles García-CabreraEric ArazoKathleen M. CurranNoel E. O'ConnorKevin McGuinnessPublished in: STACOM@MICCAI (2022)
Keyphrases
- motion artifacts
- transfer learning
- optical coherence tomography
- beating heart
- motion correction
- computer tomography
- respiratory motion
- labeled data
- medical images
- computed tomography
- mr imaging
- reinforcement learning
- active learning
- retinal images
- machine learning
- learning algorithm
- medical imaging
- semi supervised learning
- collaborative filtering
- motion compensation
- text classification
- cardiac cycle
- patient specific
- text mining
- coronary artery
- machine learning algorithms
- accurate segmentation
- image segmentation
- imaging modalities
- ct images
- magnetic resonance
- cardiac motion
- mr images
- text categorization
- ct scans
- brain imaging
- motion compensated
- segmentation algorithm
- dce mri
- x ray
- clinical applications
- data sets
- image analysis
- contrast enhanced
- minimally invasive
- cone beam
- mri data