Journal article 988 views 374 downloads
Phase contrast cell detection using multilevel classification
Ehab Essa,
Xianghua Xie 
International Journal for Numerical Methods in Biomedical Engineering, Start page: e2916
Swansea University Author:
Xianghua Xie
-
PDF | Accepted Manuscript
Download (13.5MB)
DOI (Published version): 10.1002/cnm.2916
Abstract
In this paper, we propose a fully automated learning based approach for detecting cells in time-lapse phase contrast images. The proposed system combines two machine learning approaches to achieve bottom-up image segmentation.
| Published in: | International Journal for Numerical Methods in Biomedical Engineering |
|---|---|
| ISSN: | 20407939 |
| Published: |
2017
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa34727 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
In this paper, we propose a fully automated learning based approach for detecting cells in time-lapse phase contrast images. The proposed system combines two machine learning approaches to achieve bottom-up image segmentation. |
|---|---|
| College: |
Faculty of Science and Engineering |
| Start Page: |
e2916 |