A Fleet-Based Machine Learning Approach for Automatic Detection of Deviations between Measurements and Reality.
Jakob PfeifferPeter WolfRoberto PereiraPublished in: IV (2019)
Keyphrases
- automatic detection
- machine learning
- automatically detecting
- decision trees
- small bowel
- automatic classification
- machine learning methods
- learning algorithm
- machine learning algorithms
- vehicle routing problem
- text mining
- information extraction
- data mining
- shape model
- three dimensional
- feature selection
- routing decisions
- chest ct