Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans.
Xiaoxuan HeHualiang WangHaoji HuJianfei YangYang FengGaoang WangZuozhu LiuPublished in: MIDL (2022)
Keyphrases
- supervised learning
- image segmentation
- segmentation method
- level set
- unsupervised learning
- supervised training
- bayesian image segmentation
- fully unsupervised
- segmentation algorithm
- segmentation of natural images
- text segmentation
- fully automatic
- volumetric data
- medical images
- image analysis
- training set
- multiscale
- segmentation accuracy
- edge detection
- region growing
- multiresolution
- supervised methods
- d mesh
- training phase
- training examples
- segmentation of textured images
- texture segmentation
- medical imaging
- neural network
- training samples
- multi dimensional
- semi supervised
- image processing