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SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on it. However, as we pointed out in a former paper as reporte...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754368/ https://www.ncbi.nlm.nih.gov/pubmed/35039754 http://dx.doi.org/10.1007/s11760-021-02045-7 |
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author | Rodríguez, Roberto Mondeja, Brian A. Valdes, Odalys Resik, Sonia Vizcaino, Ananayla Acosta, Emilio F. González, Yorexis Kourí, Vivian Díaz, Angelina Guzmán, María G. |
author_facet | Rodríguez, Roberto Mondeja, Brian A. Valdes, Odalys Resik, Sonia Vizcaino, Ananayla Acosta, Emilio F. González, Yorexis Kourí, Vivian Díaz, Angelina Guzmán, María G. |
author_sort | Rodríguez, Roberto |
collection | PubMed |
description | Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on it. However, as we pointed out in a former paper as reported by Roberto Rodríguez (SARS-CoV-2: Enhancement and Segmentation of High-Resolution Microscopy Images. Part I”, Sent to Signal, Image and Video Processing Video Processing, Springer, New York, 2020), many times these microscopic images present some blurring problems, which are always susceptible to be improved. The aim of this work is to carry out a theoretical analysis of the proposed algorithms to enhancement and segmentation of these microscopic images, which is important for the design and development of future algorithms before new epidemics. |
format | Online Article Text |
id | pubmed-8754368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-87543682022-01-13 SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II Rodríguez, Roberto Mondeja, Brian A. Valdes, Odalys Resik, Sonia Vizcaino, Ananayla Acosta, Emilio F. González, Yorexis Kourí, Vivian Díaz, Angelina Guzmán, María G. Signal Image Video Process Original Paper Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on it. However, as we pointed out in a former paper as reported by Roberto Rodríguez (SARS-CoV-2: Enhancement and Segmentation of High-Resolution Microscopy Images. Part I”, Sent to Signal, Image and Video Processing Video Processing, Springer, New York, 2020), many times these microscopic images present some blurring problems, which are always susceptible to be improved. The aim of this work is to carry out a theoretical analysis of the proposed algorithms to enhancement and segmentation of these microscopic images, which is important for the design and development of future algorithms before new epidemics. Springer London 2022-01-12 2022 /pmc/articles/PMC8754368/ /pubmed/35039754 http://dx.doi.org/10.1007/s11760-021-02045-7 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Rodríguez, Roberto Mondeja, Brian A. Valdes, Odalys Resik, Sonia Vizcaino, Ananayla Acosta, Emilio F. González, Yorexis Kourí, Vivian Díaz, Angelina Guzmán, María G. SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II |
title | SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II |
title_full | SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II |
title_fullStr | SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II |
title_full_unstemmed | SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II |
title_short | SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II |
title_sort | sars-cov-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—part ii |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754368/ https://www.ncbi.nlm.nih.gov/pubmed/35039754 http://dx.doi.org/10.1007/s11760-021-02045-7 |
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