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Multifractal-based nuclei segmentation in fish images

The method for nuclei segmentation in fluorescence in-situ hybridization (FISH) images, based on the inverse multifractal analysis (IMFA) is proposed. From the blue channel of the FISH image in RGB format, the matrix of Holder exponents, with one-by-one correspondence with the image pixels, is deter...

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Autores principales: Reljin, Nikola, Slavkovic-Ilic, Marijeta, Tapia, Coya, Cihoric, Nikola, Stankovic, Srdjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543204/
https://www.ncbi.nlm.nih.gov/pubmed/28776236
http://dx.doi.org/10.1007/s10544-017-0208-x
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author Reljin, Nikola
Slavkovic-Ilic, Marijeta
Tapia, Coya
Cihoric, Nikola
Stankovic, Srdjan
author_facet Reljin, Nikola
Slavkovic-Ilic, Marijeta
Tapia, Coya
Cihoric, Nikola
Stankovic, Srdjan
author_sort Reljin, Nikola
collection PubMed
description The method for nuclei segmentation in fluorescence in-situ hybridization (FISH) images, based on the inverse multifractal analysis (IMFA) is proposed. From the blue channel of the FISH image in RGB format, the matrix of Holder exponents, with one-by-one correspondence with the image pixels, is determined first. The following semi-automatic procedure is proposed: initial nuclei segmentation is performed automatically from the matrix of Holder exponents by applying predefined hard thresholding; then the user evaluates the result and is able to refine the segmentation by changing the threshold, if necessary. After successful nuclei segmentation, the HER2 (human epidermal growth factor receptor 2) scoring can be determined in usual way: by counting red and green dots within segmented nuclei, and finding their ratio. The IMFA segmentation method is tested over 100 clinical cases, evaluated by skilled pathologist. Testing results show that the new method has advantages compared to already reported methods.
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spelling pubmed-55432042017-08-17 Multifractal-based nuclei segmentation in fish images Reljin, Nikola Slavkovic-Ilic, Marijeta Tapia, Coya Cihoric, Nikola Stankovic, Srdjan Biomed Microdevices Article The method for nuclei segmentation in fluorescence in-situ hybridization (FISH) images, based on the inverse multifractal analysis (IMFA) is proposed. From the blue channel of the FISH image in RGB format, the matrix of Holder exponents, with one-by-one correspondence with the image pixels, is determined first. The following semi-automatic procedure is proposed: initial nuclei segmentation is performed automatically from the matrix of Holder exponents by applying predefined hard thresholding; then the user evaluates the result and is able to refine the segmentation by changing the threshold, if necessary. After successful nuclei segmentation, the HER2 (human epidermal growth factor receptor 2) scoring can be determined in usual way: by counting red and green dots within segmented nuclei, and finding their ratio. The IMFA segmentation method is tested over 100 clinical cases, evaluated by skilled pathologist. Testing results show that the new method has advantages compared to already reported methods. Springer US 2017-08-03 2017 /pmc/articles/PMC5543204/ /pubmed/28776236 http://dx.doi.org/10.1007/s10544-017-0208-x Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Reljin, Nikola
Slavkovic-Ilic, Marijeta
Tapia, Coya
Cihoric, Nikola
Stankovic, Srdjan
Multifractal-based nuclei segmentation in fish images
title Multifractal-based nuclei segmentation in fish images
title_full Multifractal-based nuclei segmentation in fish images
title_fullStr Multifractal-based nuclei segmentation in fish images
title_full_unstemmed Multifractal-based nuclei segmentation in fish images
title_short Multifractal-based nuclei segmentation in fish images
title_sort multifractal-based nuclei segmentation in fish images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543204/
https://www.ncbi.nlm.nih.gov/pubmed/28776236
http://dx.doi.org/10.1007/s10544-017-0208-x
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