No Cover Image

Journal article 771 views 274 downloads

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

Check full text

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