PARSEG: a computationally efficient approach for statistical validation of botanical seeds' images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F24%3A00060783" target="_blank" >RIV/61384399:31140/24:00060783 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/24:10489882
Result on the web
<a href="https://www.nature.com/articles/s41598-024-56228-6" target="_blank" >https://www.nature.com/articles/s41598-024-56228-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-024-56228-6" target="_blank" >10.1038/s41598-024-56228-6</a>
Alternative languages
Result language
angličtina
Original language name
PARSEG: a computationally efficient approach for statistical validation of botanical seeds' images
Original language description
Main topics of the document: statistical image validation; image segmentation; background subtraction; big data; classification; CART; STAPLE; Bootstrap
Czech name
—
Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA22-19353S" target="_blank" >GA22-19353S: Argmax-type estimators from the viewpoint of optimization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Reports
ISSN
2045-2322
e-ISSN
—
Volume of the periodical
14
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
17
Pages from-to
"nestrankovano"
UT code for WoS article
001185520800053
EID of the result in the Scopus database
2-s2.0-85187702229