Automated Parameter Selection for Segmentation of Tube-like Biological Structures Using Optimization Algorithm and Mdl

Abstract

Segmentation of tube-like biological structures, e.g., neurons and blood vessels, allows extraction of structural measurements supporting quantitative studies ranging from understanding neural growth to cancer research. While automated segmentation algorithms minimize subjectivity associated with tedious manual segmentation, they generally have parameter… (More)

Topics

Cite this paper

@inproceedings{Karim2005AutomatedPS, title={Automated Parameter Selection for Segmentation of Tube-like Biological Structures Using Optimization Algorithm and Mdl}, author={Amri Abdul Karim}, year={2005} }