Automatic detection of lung cancer from biomedical data set using discrete AdaBoost optimized ensemble learning generalized neural networks.
P. Mohamed ShakeelAmr TolbaZafer Al-MakhadmehMustafa Musa JaberPublished in: Neural Comput. Appl. (2020)
Keyphrases
- ensemble learning
- automatic detection
- lung cancer
- neural network
- data sets
- lymph nodes
- ensemble methods
- base classifiers
- early detection
- weak learners
- generalization ability
- cancer diagnosis
- random forest
- negative correlation learning
- pattern recognition
- training set
- back propagation
- neural network model
- multi class
- prediction accuracy
- fuzzy logic
- concept drift
- training data
- fault diagnosis
- pulmonary nodules
- unlabeled data
- learning algorithm
- feature selection
- artificial neural networks
- image registration
- gene expression data
- computer aided