The impact of training dataset size and ensemble inference strategies on head and neck auto-segmentation.
Edward G. A. HendersonMarcel van HerkEliana M. Vasquez OsorioPublished in: CoRR (2023)
Keyphrases
- training dataset
- training data
- training set
- image segmentation
- segmentation algorithm
- multiscale
- medical images
- level set
- trained classifiers
- lymph nodes
- inference process
- segmentation method
- training samples
- class labels
- learning algorithm
- neural network
- database
- medical imaging
- ensemble methods
- supervised learning
- support vectors
- data samples
- small number