An Efficient Hybrid Classifier for MRI Brain Images Classification Using Machine Learning Based Naive Bayes Algorithm - Nayak, Madhu M.; Kengeri Anjanappa, Sumithra Devi (SN computer science, 2023)
Keywords: Accuracy; Advances in Computational Intelligence for Artificial Intelligence; Algorithms; Bayesian analysis; Body parts; Brain; Brain cancer; Classification; Classifiers; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Datasets; Discriminant analysis; Feature extraction; Image classification; Image enhancement; Image quality; Information Systems and Communication Service; Internet of Things and Data Analytics; Machine Learning; Magnetic resonance imaging; Mathematical models; Medical imaging; Medical science; Neural networks; Neuroimaging; Noise reduction; Original Research; Parameter identification; Pattern Recognition and Graphics; Software Engineering/Programming and Operating Systems; Splitting; Support vector machines; Tomography; Tumors; Vision; Wavelet transforms; Magnetic resonance imaging (MRI); Positron emanation tomography (PET); Random subspace (RS); Bayesian Network (BN); Random forest (RF); Feed forward-artificial neural network (FF-ANN)