MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning.
Vajira ThambawitaAndrea M. StoråsSteven Alexander HicksPål HalvorsenMichael A. RieglerPublished in: HECKTOR@MICCAI (2022)
Keyphrases
- machine learning
- training data
- learning algorithm
- decision trees
- supervised learning
- data sets
- lymph nodes
- feature selection
- test data
- support vector machine
- training set
- classification accuracy
- noisy data
- machine learning methods
- machine learning algorithms
- case base
- semi supervised learning
- inductive learning
- learning tasks
- training instances
- knowledge representation
- domain knowledge
- hybrid algorithms
- real time
- neural network
- brain tumors
- explanation based learning
- learning problems
- learned from training data
- breast cancer detection
- training samples
- labeled data
- model selection
- knowledge acquisition
- text mining
- case based reasoning
- active learning
- prior knowledge
- pattern recognition
- data mining