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2D Adaptive Grid-Based Image Analysis Approach for Biological Networks

Lookup NU author(s): Professor Boguslaw Obara

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2016.

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Abstract

© 2016 IEEE. The accurate analysis of biological networks, enabled by the precise capture of their individual components, can reveal important underlying biological principles. Efficient image processing techniques are required to precisely identify and quantify the networks from complex images. In this paper, we present a novel approach for a weighted and undirected graph-based network reconstruction and quantification from 2D images using an adaptive rectangular mesh refinement approach. The proposed approach is able to efficiently identify the organizational principles of the network, capturing the underlying network structure, and computing relevant network topological properties. We validate the proposed approach by comparing it with the state-of-The-Art method.


Publication metadata

Author(s): Alhasson HF, Obara B

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 16th International Conference on Bioinformatics and Bioengineering (BIBE)

Year of Conference: 2016

Pages: 230-237

Online publication date: 19/12/2016

Acceptance date: 02/04/2016

Date deposited: 09/05/2021

ISSN: 2471-7819

Publisher: IEEE

URL: https://doi.org/10.1109/BIBE.2016.17

DOI: 10.1109/BIBE.2016.17

Library holdings: Search Newcastle University Library for this item

ISBN: 9781509038343


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