Evidence map›Paper›PMID 28776236›Full record

ArticleBiomedical microdevices2017

Multifractal-based nuclei segmentation in fish images.

Nikola Reljin, Marijeta Slavkovic-Ilic, Coya Tapia, Nikola Cihoric, Srdjan Stankovic

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical microdevices, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Automatic quantification ofJournal of medical imaging (Bellingham, Wash.) · 2019
    Article
  3. Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape-Based Intensity Analysis in Fluorescence Microscopy Images.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Nikola ReljinAcademic Technology Services, Princeton University, Princeton, NJ, USA. nreljin@princeton.edu.ORCID http://orcid.org/0000-0002-5608-8940
Marijeta Slavkovic-IlicInnovation Center of the School of Electrical Engineering, University of Belgrade, Belgrade, Serbia.
Coya TapiaDivision of Clinical Pathology, Institute of Pathology, University of Bern, Bern, Switzerland.
Nikola CihoricDepartment of Radiation Oncology, Bern University Hospital, University of Bern, Bern, Switzerland.
Srdjan StankovicSchool of Electrical Engineering, University of Belgrade, Belgrade, Serbia.
University of Belgrade · RSUniversity of Bern · CHPrinceton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

FractalsIn Situ Hybridization, FluorescenceCell NucleusImage Processing, Computer-AssistedBreast cancerFluorescence in-situ hybridizationFractal and multifractal analysesHER2Holder exponentsImage processingNuclei segmentation

Identifiers

PMID28776236
PMCPMC5543204
OpenAlexW2743150603

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.