Research Article
Development of a Stand-Alone Independent Graphical User Interface for Neurological Disease Prediction with Automated Extraction and Segmentation of Gray and White Matter in Brain MRI Images
Figure 14
Visual comparison of two manual expert tracing-based and automatic segmentation (using the fully automatic segmentation method presented in this paper) results of sample patient 2 brain MRI image (note the difference between the two manual segmentations of the gray matter: one including and the other excluding portion(s) of the cerebrospinal fluid region; this shows the robustness of the proposed automatic segmentation algorithm to still have high validity even when considering error, taking human manual error into account; see last row of Table 2 and Figure 16 for validation results that show the high accuracy and low error of the automatic segmentation method proposed in this research as compared to the two manual expert tracing-based segmentation results). (a) Original brain MRI image. (b) Gray matter region in original image. (c) White matter region in original image. (d) Gray matter: manual segmentation 1. (e) White matter: manual segmentation 1. (f) Gray matter: manual segmentation 2. (g) White matter: manual segmentation 2. (h) Gray matter region: automatic segmentation. (i) White matter region: automatic segmentation.