Name
Title | ||
|---|---|---|
Automatic segmenting and classifying the neural stem cells in adherent culturing condition |
Abstract | ||
|---|---|---|
The neural stem cells (NSCs) have a wide range of perspectives in clinical applications for neurology disorders due to their multi-potent potentials of differentiation. Automatic segment and classify the NSCs can be useful tools for biologist to monitor the progress of differentiation. In this paper, a hybrid image segmentation framework based on self-organizing map and watershed algorithm was applied to segment the NSCs in adherent culturing conditions. The cells shapes were analyzed using Fourier descriptors and classified using a feed-forward neural network. The results indicated that different shapes of NSCs in adherent culturing condition can be successfully segmented and classified based on these methods. ©2009 Crown. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/BMEI.2009.5304916 | Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 |
Keywords | DocType | Volume |
component,neural stem cells,self-organizing map,watershed algorithm | Conference | null |
Issue | ISSN | ISBN |
null | null | 978-1-4244-4134-1 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qian Xiang | 1 | 0 | 0.34 |
| Ye Datian | 2 | 41 | 10.06 |