Estimation of band level resolutions of human chromosome images

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University of the Thai Chamber of Commerce. Research Support Office
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University of the Thai Chamber of Commerce
Date Issued
2012
Resource Type
Text::Conference output::Conference proceedings::Conference paper
Language
English
Abstract
Current estimation methods for band level resolutions of human chromosome images in cytogenetic laboratories are time consuming and required experienced specialists to manually perform. To alleviate this problem, in this paper, a computerized approach to estimate band level resolution is proposed. The intensity gradient profile and sign profile of chromosome images are utilized to count the number of bands. Then band level resolutions of chromosome images are classified into three categories: 400, 500, and 550band levels by using knearestneighbor algorithm. The experimental results show the accuracy of the proposed algorithm. We also provide a discussion on how to improve the overall accuracy.
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Conference
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public
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This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
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University of the Thai Chamber of Commerce
Bibliographic Citation
W. Sethakulvichai, S. Manitpornsut, M. Wiboonrat, W. Lilakiatsakun, A. Assawamakin, S. Tongsima (2012) Estimation of band level resolutions of human chromosome images., 276-282.
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