Title
Box-Counting Method of 2D Neuronal Image: Method Modification and Quantitative Analysis Demonstrated on Images from the Monkey and Human Brain.
Abstract
This study calls attention to the difference between traditional box-counting method and its modification. The appropriate scaling factor, influence on image size and resolution, and image rotation, as well as different image presentation, are showed on the sample of asymmetrical neurons from the monkey dentate nucleus. The standard BC method and its modification were evaluated on the sample of 2D neuronal images from the human neostriatum. In addition, 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.
Year
DOI
Venue
2017
10.1155/2017/8967902
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Field
DocType
Volume
Computer vision,Image presentation,Dentate nucleus,Neuroscience,Pattern recognition,Computer science,Image rotation,Human brain,Artificial intelligence,Quantitative analysis (chemistry),Box counting,Image resolution
Journal
2017
ISSN
Citations 
PageRank 
1748-670X
1
0.48
References 
Authors
1
3
Name
Order
Citations
PageRank
Nemanja Rajkovic153.50
Bojana Krstonosic210.48
Nebojša T Milošević322.38