Article: SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images-Part II.
Signal, image and video processing
2022 Volume 16, Issue 3, Page(s) 595–604
Abstract: 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, ... ...
Abstract | 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. |
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Language | English |
Publishing date | 2022-01-12 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2391619-9 |
ISSN | 1863-1711 ; 1863-1703 |
ISSN (online) | 1863-1711 |
ISSN | 1863-1703 |
DOI | 10.1007/s11760-021-02045-7 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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