ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification Between Polyps and Non-Polyps in CT Colonography.
Kenji SuzukiAbraham H. DachmanPublished in: SMC (2023)
Keyphrases
- ct colonography
- computer aided detection
- deep learning
- restricted boltzmann machine
- polyp detection
- training set
- unsupervised learning
- supervised learning
- deep architectures
- breast cancer
- classification accuracy
- machine learning
- decision trees
- feature selection
- pulmonary nodules
- lung nodules
- weakly supervised
- ct scans
- training samples
- model selection
- pattern recognition
- support vector
- text classification
- training data
- training examples
- three dimensional
- object detection
- active learning