Efficient Classification of Prostate Cancer Using Artificial Intelligence Techniques - Baazeem, Rami Mohamdfowzi Yaslam (SN computer science, 2024)
Keywords: Algorithms; Artificial intelligence; Bladder; Breast cancer; Cancer therapies; Classification; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Diagnosis; Diagnostic systems; Discriminant analysis; Feature extraction; Hormones; Image quality; Image segmentation; Information Systems and Communication Service; Life expectancy; Machine Intelligence and Smart Systems; Machine learning; Magnetic resonance imaging; Medical imaging; Mortality; Multilayer perceptrons; Noise reduction; Original Research; Particle swarm optimization; Pattern Recognition and Graphics; Penis; Prostate cancer; Signal to noise ratio; Similarity; Software Engineering/Programming and Operating Systems; Sperm; Support vector machines; Tumors; Vision; Asia; Magnetic resonance imaging (MRI); Support vector machine (SVM); Multilayer perceptron (MLP); Linear discriminant analysis (LDA)