| Abstrakt: |
In this paper, Radial Basis Function Neural Network is used to create, model, and assess a suggested approach for segmenting the brain. The suggested system is examined by segmenting the three brain tissues using magnetic resonance imaging (MRI). The proposed method in this research can more precisely segment the cerebrospinal fluid, white matter, and grey matter of the brain when compared to other previous works. The margins of the brain are well maintained, and the visual scans show that the tissues are well segmented. Additionally, the misclassification percentage for white matter, grey matter, and CSF has been drastically decreased by 41%, 6%, and 41%, respectively, when compared to K-means and fuzzy logic. With fewer misclassified pixels, it is evident from this metric that the suggested strategy significantly improves the segmentation of MRI brain tissue. [ABSTRACT FROM AUTHOR] |
