MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images.
Anandbabu GopatotiP. VijayalakshmiPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- multi class
- x ray images
- convolutional neural network
- x ray
- lung nodules
- multi class classifier
- multi class classification
- multiclass classification
- support vector machine
- binary and multi class
- binary classifiers
- multi class boosting
- multiple classes
- cost sensitive
- multi class classifiers
- medical images
- class probabilities
- multiclass problems
- binary classification problems
- error correcting output codes
- multi class svms
- multi class svm
- feature selection
- single class
- binary classification
- classification accuracy
- single view
- pairwise
- object detection
- support vector
- chest radiographs
- face detection
- neural network
- kernel logistic regression
- training set
- protein classification
- feature vectors
- support vector machine svm
- image classification
- text classification
- class labels
- ct images
- training data
- base classifiers
- decision trees
- improve the classification accuracy
- multi class problems
- cost sensitive learning
- svm classifier
- classification algorithm
- machine learning
- binary classification tasks
- data sets