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Phase contrast cell detection using multilevel classification

Ehab Essa, Xianghua Xie Orcid Logo

International Journal for Numerical Methods in Biomedical Engineering, Start page: e2916

Swansea University Author: Xianghua Xie Orcid Logo

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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
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URI: https://cronfa.swan.ac.uk/Record/cronfa34727
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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: College of Science
Start Page: e2916