Identifying Dementia in MRI Scans Using Artiﬁcial Neural Network and K-Nearest Neighbor
Artiﬁcial Neural Network (ANN) and K-Nearest Neighbor (KNN) models are used to detect dementia in MRI scans. Each scan is segmented and then normalized into four discrete color areas corresponding to white matter, dark gray matter, light gray matter and black background, the former three constituting the feature set. Thresholding technique is used in segmentation and nearest neighbor interpolation technique is used in normalization of the images. The ANN implementation resulted into 69.81% accuracy and the KNN implementation resulted into 81.13% accuracy in classiﬁcation of demented and non-demented scans.