No Cover Image

Journal article 384 views 55 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

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: College of Science
Start Page: e2916