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Nebojša T. Milošević
Researcher at University of Belgrade
Publications - 91
Citations - 1010
Nebojša T. Milošević is an academic researcher from University of Belgrade. The author has contributed to research in topics: Fractal analysis & Biology. The author has an hindex of 17, co-authored 77 publications receiving 854 citations. Previous affiliations of Nebojša T. Milošević include Instituto Tecnológico de Santo Domingo.
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Journal ArticleDOI
Fractal dimension and lacunarity of tumor microscopic images as prognostic indicators of clinical outcome in early breast cancer
Jelena Pribic,Jelena Vasiljevic,Ksenija Kanjer,Zora Neskovic Konstantinovic,Nebojša T. Milošević,Dragica Nikolic Vukosavljevic,Marko Radulovic +6 more
TL;DR: Fractal analysis was performed for the first time on routinely produced archived pan-tissue stained primary breast tumor sections, indicating its potential for clinical use as a simple and cost-effective prognostic indicator of distant metastasis risk to complement the molecular approaches for cancer risk prognosis.
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Novel application of the gray-level co-occurrence matrix analysis in the parvalbumin stained hippocampal gyrus dentatus in distinct rat models of Parkinson’s disease
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.
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An anatomical study of the lumbar external foraminal ligaments: appearance at MR imaging.
TL;DR: The MRI appearance of the ligaments within the external space of the lumbar intervertebral foramen is examined by correlating MR images with the corresponding anatomic dissection of the cadaverLumbar spine to confirm that external transforaminal ligaments are common structures in the interverTEbral foramina.
Journal Article
The Morphology of Alpha Ganglion Cells in Mammalian Species: a Fractal Analysis Study
TL;DR: The results showed that the fractal dimension represents a parameter which is of relevance for inter-species comparisons of retinal ganglion cell populations.
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Mathematical modeling of the neuron morphology using two dimensional images.
Katarina M. Rajković,Dusica Maric,Nebojša T. Milošević,Sanja Jeremic,Valentina Arsić Arsenijević,Nemanja Rajkovic +5 more
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.