Is one label all you need? Single positive multi-label training in medical image analysis.
Helen SchneiderPriya PriyaDavid BiesnerRebecca KadorYannik C. LayerMaike TheisSebastian NowakAlois M. SprinkartUlrike I. AttenbergerRafet SifaPublished in: BigData (2023)
Keyphrases
- multi label
- medical image analysis
- multi label classification
- medical images
- text categorization
- image classification
- graph cuts
- multi label learning
- deformable models
- image registration
- image annotation
- medical imaging
- binary classification
- multiple labels
- label space
- class labels
- text classification
- multi instance
- label assignment
- visual programming environment
- image analysis
- anatomical structures
- max margin
- training examples
- energy function
- data sets
- training samples
- supervised learning
- training set
- feature extraction
- hierarchical text categorization
- magnetic resonance images
- active contours
- multi class
- image data
- training data
- three dimensional
- feature selection
- computer vision
- machine learning