Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation.
Hao ZhengSusan M. Motch PerrineM. Kathleen PitirriKazuhiko KawasakiChaoli WangJoan T. RichtsmeierDanny Z. ChenPublished in: MICCAI (1) (2020)
Keyphrases
- ct images
- medical images
- magnetic resonance images
- medical imaging
- high resolution
- liver segmentation
- lung nodules
- fracture detection
- computed tomography
- pet ct
- mr images
- computer tomography
- anatomical knowledge
- ct scans
- medical image segmentation
- bone segmentation
- lung parenchyma
- remote sensing
- anatomical structures
- magnetic resonance imaging
- pet images
- image processing
- medical image processing
- ground glass opacity
- image segmentation
- fully automatic
- x ray
- multislice
- magnetic resonance
- accurate segmentation
- low resolution
- lymph nodes
- super resolution
- manual segmentation
- ct data
- treatment planning
- image registration
- image analysis
- segmentation method
- computer aided diagnosis
- x ray images
- segmentation algorithm
- pulmonary nodules
- region of interest
- computer assisted
- imaging modalities
- ct imaging
- clinical applications
- image guided
- chronic obstructive pulmonary disease
- pattern recognition