Nemanja Rajkovic

TL;DR: In this article, the authors determined whether fractal, texture, or both MR image analyses could aid in differentiating glioblastoma from solitary brain metastasis, and concluded that texture features are more significant than fractal-based features in differentiation gliblastomas from solitary metastasis.

TL;DR: Findings indicate for the first time that the prognostic value of texture analysis of tumour histology is less dependent on the morphological complexity of the image as measured by fractal analysis, but predominantly on the spatial distribution of the gray pixel intensities as calculated by the co-occurrence features.

TL;DR: Three box dimensions (which estimate the space-filling property, the shape, complexity, and the irregularity of dendritic tree) were used to evaluate differences in the morphology of type III aspiny neurons between two parts of the neostriatum.

TL;DR: The results indicate that GLCM analysis is a more sensitive tool than fractal analysis for the detection of increased dendritic arborization in histological images.

TL;DR: The low value of mean relative percent deviation (MRPD) between the experimental data and the predicted neuron size obtained by RSM model showed that model was suitable for modeling the size of DN neurons, and RSM can be generally used for modeling neuron size from 2D images.