Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps.
Lee B. ReidAlex M. PagnozziPublished in: DLMIA/ML-CDS@MICCAI (2018)
Keyphrases
- self organizing maps
- data generation
- block matching
- motion estimation
- tissue segmentation
- motion vectors
- neural network
- motion compensation
- optical flow
- video compression
- input data
- unsupervised learning
- competitive learning
- k means
- magnetic resonance images
- data streams
- mr images
- training set
- active learning
- supervised learning
- image compression
- training examples
- high quality
- training data
- computer vision
- machine learning