Classification between Normal and Cancerous Human Urothelial Cells by Using Micro-Dimensional Electrochemical Impedance Spectroscopy Combined with Machine Learning.
Ho-Jung JeongKihyun KimHyeon Woo KimYangkyu ParkPublished in: Sensors (2022)
Keyphrases
- machine learning
- machine learning algorithms
- text classification
- feature selection
- machine learning methods
- support vector machine
- supervised machine learning
- decision trees
- pattern recognition
- supervised classification
- natural language processing
- classification method
- automatic classification
- information extraction
- support vector machine svm
- multi dimensional
- unsupervised learning
- knowledge acquisition
- pattern classification
- classification accuracy
- machine learning approaches
- preprocessing
- training set
- image classification
- feature vectors
- supervised learning
- human subjects
- breast cancer
- normal tissue
- classification algorithm
- training samples
- semi supervised learning
- model selection
- x ray
- support vector
- class labels
- knn
- classification scheme
- feature extraction
- artificial intelligence
- learning algorithm