Automated Iterative Training of Convolutional Neural Networks for Tree Skeleton Segmentation.
Keenan GranlandRhys NewburyDavid TingChao ChenPublished in: CoRR (2020)
Keyphrases
- convolutional neural networks
- skeleton extraction
- fully automatic
- level set
- segmentation algorithm
- tree structure
- image analysis
- image segmentation
- segmentation method
- training set
- training process
- shape representation
- automated analysis
- automated segmentation
- distance transformation
- segmentation accuracy
- binary tree
- medial axis
- shape decomposition
- medical imaging
- object segmentation
- supervised learning
- shape prior
- binary images
- index structure
- training examples
- fully unsupervised
- training samples
- medical images
- edge detection
- multiscale