Improving the accuracy of dose estimates from automatically scored dicentric chromosomes by accounting for chromosome number-Reference-Cited by-同舟云学术

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Improving the accuracy of dose estimates from automatically scored dicentric chromosomes by accounting for chromosome number

Published:2020-10-16 Issue:12 Volume:96 Page:1571-1584
ISSN:0955-3002
Container-title:International Journal of Radiation Biology
language:en
Short-container-title:International Journal of Radiation Biology

Author:

Endesfelder David¹,Kulka Ulrike¹²^ORCID,Einbeck Jochen³,Oestreicher Ursula¹

Affiliation:

1. Department of Effects and Risks of Ionising and Non-Ionising Radiation, Federal Office for Radiation Protection, Neuherberg, Germany

2. Department of National and International Cooperation, Federal Office for Radiation Protection, Neuherberg, Germany

3. Department of Mathematical Sciences, Durham University, Durham, UK

Publisher

Informa UK Limited

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/09553002.2020.1829152

Reference41 articles.

1. DOSE ESTIMATION SOFTWARE FOR RADIATION BIODOSIMETRY

2. UNCERTAINTY ON RADIATION DOSES ESTIMATED BY BIOLOGICAL AND RETROSPECTIVE PHYSICAL METHODS

3. A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry

4. A new look at the statistical model identification

5. Overdispersion and Poisson Regression

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radiation dose estimation with multiple artificial neural networks in dicentric chromosome assay;International Journal of Radiation Biology;2024-04-30

2. Persons chronically exposed to low doses of ionizing radiation: A cytogenetic dosimetry study;Mutation Research/Genetic Toxicology and Environmental Mutagenesis;2024-02

3. International Comparison Exercise for Biological Dosimetry after Exposures with Neutrons Performed at Two Irradiation Facilities as Part of the BALANCE Project;Cytogenetic and Genome Research;2023-04-18

4. Biodose Tools: an R shiny application for biological dosimetry;International Journal of Radiation Biology;2023-02-07

5. High-precision automatic identification method for dicentric chromosome images using two-stage convolutional neural network;Scientific Reports;2023-02-06

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