Spectral Machine Learning for Pancreatic Mass Imaging Classification.
Yiming LiuYing ChenGuangming PanWeichung WangWei-Chih LiaoYee Liang ThianCheng E. CheeConstantinos P. AnastassiadesPublished in: CoRR (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- text classification
- decision trees
- support vector machine
- machine learning algorithms
- classification accuracy
- feature selection
- model selection
- support vector
- supervised machine learning
- machine learning approaches
- support vector machine svm
- hyperspectral data
- supervised learning
- automatic classification
- image analysis
- feature vectors
- feature space
- pattern classification
- classification method
- unsupervised learning
- classification scheme
- classification algorithm
- classification systems
- spectral features
- image classification
- natural language processing
- active learning
- image processing
- knowledge acquisition
- text mining
- learning tasks
- classification models
- roc curve
- multi class
- supervised classification
- preprocessing
- data analysis
- hyperspectral images
- reinforcement learning
- computer vision