Multifractal-based nuclei segmentation in fish images.

Reljin, Nikola; Slavkovic-Ilic, Marijeta; Tapia, Coya; Cihoric, Nikola; Stankovic, Srdjan (2017). Multifractal-based nuclei segmentation in fish images. Biomedical microdevices, 19(3), p. 67. Springer 10.1007/s10544-017-0208-x

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology

UniBE Contributor:

Cihoric, Nikola

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1387-2176

Publisher:

Springer

Language:

English

Submitter:

Beatrice Scheidegger

Date Deposited:

23 Feb 2018 14:05

Last Modified:

31 Oct 2019 05:07

Publisher DOI:

10.1007/s10544-017-0208-x

PubMed ID:

28776236

Uncontrolled Keywords:

Breast cancer Fluorescence in-situ hybridization Fractal and multifractal analyses HER2 Holder exponents Image processing Nuclei segmentation

BORIS DOI:

10.7892/boris.105270

URI:

https://boris.unibe.ch/id/eprint/105270

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