Orders > Conference proceedings > Software, knowledge, information management and applications (SKIMA 2013)
Proceedings of the International Conference on
Software, Knowledge, Information Management and Applications (SKIMA 2013)
Advanced Technology Solutions and Applications in Higher Education and Enterprises |
(from Chapter 3: Intelligent Systems)
| Full Citation and Abstract
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Title: |
A mobile enabled intelligent scheme to identify blood cancer for remote areas - cell membrane segmentation using marker controlled watershed segmentation phase |
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Author(s): |
W. Srisukkham, P. Lepcha, M.A. Hossain, L. Zhang, R. Jiang, H.N. Lim |
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Address: |
Department of Computer Science, Chiang Mai University, Thailand
Computational Intelligence Group, Northumbria University, UK
Computational Intelligence Group, Northumbria University, UK
Computational Intelligence Group, Northumbria University, UK
Computational Intelligence Group, Northumbria University, UK
srisukkham.worawut @ northumbria.ac.uk, pooja.lepcha @ northumbria.ac.uk, alamgir.hossain @ northumbria.ac.uk, li.zhang @ northumbria.ac.uk, richard.jiang @ northumbria.ac.uk |
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Reference: |
SKIMA 2013 Proceedings pp. 91 - 98 |
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Abstract/
Summary |
This research aims at developing an intelligent mobile (with microscopic lens) enabled decision support scheme to aid the diagnosis of blood cancer (leukemia) at an early stage so that the disease can be managed better. The first step of diagnosis is the segmentation and study of morphological characteristics of white blood cells (WBCs). Cells segmentation is a challenging problem due to the complexity and nature of the blood images. Traditional methods with human involvement make the segmentation process slow, error prone and costly. In this paper, we demonstrated the segmentation of the WBCs from a noisy background with touching red blood cells (RBCs) using modified marker controlled watershed segmentation with the integration of image processing operations. The accuracy of the segmentation achieved was 91.33% and 85.33% with and without the use of filters respectively, clearly demonstrates the potential to be used as a preliminary step for the diagnosis of leukaemia. |
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