Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques - Vijithananda, Sahan M.; Jayatilake, Mohan L.; Hewavithana, Badra; Gonçalves, Teresa; Rato, Luis M.; Weerakoon, Bimali S.; Kalupahana, Tharindu D.; Silva, Anil D.; Dissanayake, Karuna D. (Biomedical engineering online, 2022)
Keywords: Accuracy; Algorithms; ANOVA f-test feature selection; Apparent diffusion coefficient; Benign; Biomaterials; Biomedical Engineering and Bioengineering; Biomedical Engineering/Biotechnology; Biopsy; Biotechnology; Brain; Brain cancer; Brain slice preparation; Brain tumor classification; Brain tumors; Care and treatment; Cell division; Classification; Datasets; Decision making; Decision trees; Demography; Diagnosis; Diffusion; Diffusion coefficient; Diffusion weighted imaging; Discriminant analysis; Engineering; Entropy; Feature extraction; Health aspects; Homogeneity; Image classification; Image contrast; Image processing; Kurtosis; Learning algorithms; Machine learning; Magnetic resonance imaging; Medical imaging; Methods; Model accuracy; Neoplasms; Neuroimaging; Patients; Probability distribution; Process parameters; Radiology; Random variables; Risk factors; Skewness; Statistical analysis; Statistics; Tomography; Tumors; Variance analysis; China; Brain tumor classification; Magnetic resonance imaging; ANOVA; test feature selection; Machine learning; Random forest; Diffusion weighted imaging; Apparent diffusion coefficient