2D adaptive grid-based image analysis approach for biological networks

Alhasson, Haifa F.; Obara, Boguslaw

doi:10.1109/bibe.2016.17

2D adaptive grid-based image analysis approach for biological networks

Alhasson, Haifa F.; Obara, Boguslaw

Authors

Haifa F. Alhasson

Boguslaw Obara

Abstract

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.

Citation

Alhasson, H. F., & Obara, B. (2016). 2D adaptive grid-based image analysis approach for biological networks. In 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) : 31 October–2 November 2016 Taichung, Taiwan ; proceedings (230-237). https://doi.org/10.1109/bibe.2016.17

Conference Name	The 16th IEEE International Conference on BioInformatics and BioEngineering.
Conference Location	Taichung, Taiwan
Start Date	Oct 31, 2023
End Date	Nov 2, 2016
Acceptance Date	Aug 25, 2016
Online Publication Date	Dec 19, 2016
Publication Date	Dec 19, 2016
Deposit Date	Aug 25, 2016
Publicly Available Date	Aug 25, 2016
Pages	230-237
Series ISSN	2471-7819
Book Title	2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE) : 31 October–2 November 2016 Taichung, Taiwan ; proceedings.
DOI	https://doi.org/10.1109/bibe.2016.17
Additional Information	Conference dates: 31 October - 2 November 2016

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