McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices.
Sakshi AhujaBijaya Ketan PanigrahiNilanjan DeyArpit TanejaTapan Kumar GandhiPublished in: Appl. Soft Comput. (2022)
Keyphrases
- multi class
- ct scans
- multiclass classification
- multi class classification
- multi class classifier
- support vector machine
- binary classifiers
- binary and multi class
- multiple classes
- ct images
- multi class boosting
- cost sensitive
- computed tomography
- multi class svms
- binary classification problems
- x ray
- error correcting output codes
- multi class svm
- multiclass problems
- feature selection
- single class
- pairwise
- ct data
- binary classification
- lung disease
- neural network
- computer tomography
- support vector machine svm
- protein classification
- probabilistic boosting tree
- classification accuracy
- decision trees
- multi label classification
- kernel logistic regression
- multi class problems
- image reconstruction
- pattern recognition
- medical images
- medical imaging
- lymph nodes
- region of interest
- base classifiers
- feature extraction
- svm classifier
- class imbalance
- cost sensitive learning
- computer aided diagnosis
- binary classification tasks
- data sets