Please use this identifier to cite or link to this item: https://utcc-dspacecris.eval.plus/handle/6626976254/607
Title: Estimation of Band Level Resolutionsof Human Chromosome Images
Authors: Sethakulvichai, W. 
Manitpornsut, S. 
Wiboonrat, M. 
Lilakiatsakun, W. 
Assawamakin, A. 
Tongsima, S. 
Issue Date: 2012
Publisher: University of the Thai Chamber of Commerce
University of the Thai Chamber of Commerce
Source: W. Sethakulvichai, S. Manitpornsut, M. Wiboonrat, W. Lilakiatsakun, A. Assawamakin, S. Tongsima (2012) Estimation of Band Level Resolutionsof Human Chromosome Images. UTCC Engineering Research Papers.
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 550-band levels by using k-nearest neighbor algorithm. The experimental results show the accuracy of the proposed algorithm. A discussion on how to improve the overall accuracy is also provided.
URI: https://scholar.utcc.ac.th/handle/6626976254/607
ISSN: 1906-1625
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:EN: Journal Articles

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