Single-Cell Classification Based on Population Nucleus Size Combining Microwave Impedance Spectroscopy and Machine Learning.
Caroline A. FergusonJames C. M. HwangYu ZhangXuanhong ChengPublished in: Sensors (2023)
Keyphrases
- machine learning
- pattern recognition
- decision trees
- machine learning methods
- text classification
- machine learning algorithms
- support vector machine
- supervised learning
- feature selection
- supervised machine learning
- classification scheme
- classification accuracy
- machine learning approaches
- supervised classification
- classification method
- unsupervised learning
- model selection
- image classification
- correct classification
- population size
- infrared
- small size
- learning tasks
- classification systems
- multiple classifier systems
- learning algorithm
- support vector machine svm
- neural network
- information extraction
- cell nucleus
- white blood cells
- automatic recognition
- classification algorithm
- training samples
- semi supervised learning
- natural language processing
- data analysis
- support vector
- feature extraction