Estimation of Covid-19 lungs damage based on computer tomography images analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F25%3A43928732" target="_blank" >RIV/00064173:_____/25:43928732 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11120/25:43928732 RIV/60461373:22340/25:43932357
Result on the web
<a href="https://doi.org/10.12688/f1000research.109020.3" target="_blank" >https://doi.org/10.12688/f1000research.109020.3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12688/f1000research.109020.3" target="_blank" >10.12688/f1000research.109020.3</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of Covid-19 lungs damage based on computer tomography images analysis
Original language description
Modern treatment is based on reproducible quantitative analysis of available data. The Covid-19 pandemic did accelerate development and research in several multidisciplinary areas. One of them is the use of software tools for faster and reproducible patient data evaluation. A CT scan can be invaluable for a search of details, but it is not always easy to see the big picture in 3D data. Even in the visual analysis of CT slice by slice can inter and intra variability makes a big difference. We present an ImageJ tool developed together with the radiology center of Faculty hospital Královské Vinohrady for CT evaluation of patients with COVID-19. The tool was developed to help estimate the percentage of lungs affected by the infection. The patients can be divided into five groups based on percentage score and proper treatment can be applied.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
30224 - Radiology, nuclear medicine and medical imaging
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
F1000Research
ISSN
2046-1402
e-ISSN
2046-1402
Volume of the periodical
11
Issue of the periodical within the volume
July
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
326
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85152908025