Artificial intelligence strategies based on random forests for detecting ischemia-reperfusion injury changes in kidney tissue during intravital imaging

Резултати

Naziv:	Artificial intelligence strategies based on random forests for detecting ischemia-reperfusion injury changes in kidney tissue during intravital imaging
Autori:	Pantić, Igor ; Paunović-Pantić, Jovana ; Valjarević, Svetlana Z.; Čumić, Jelena; Qin, Peiwu; Corridon, Peter R.
Godina:	2025
Publikacija:	Scientific reports
ISSN:	2045-2322 Scientific Reports Pretraži identifikator
Izdavač:	London : Nature Publishing Group
Tip rezultata:	Naučni članak
Kolacija:	vol. 15 br. 1 str. 37334
DOI:	10.1038/s41598-025-21352-4
WoS-ID:	001601003600049
Scopus-ID:	2-s2.0-105019572962
PMID:	41136668
PMCID:	PMC12552654
URI:	https://enauka.gov.rs/handle/123456789/1008990
URL:	https://www.nature.com/articles/s41598-025-21352-4
Projekat:	Republic of Serbia, grant No. 7739645, SensoFracTW and by the Ministry of Science [7739645] Science Fund of the Republic of Serbia [451-03-66/2024-03/200110] Ministry of Science, Technological Development and Innovation of the Republic of Serbia [RC2-2018-022] Khalifa University of Science and Technology [FSU-2020-25] Research Fund [DK 079312] NIH P-30 O'Brien Center award Indiana University School of Medicine
Izvor metapodataka:	(Preuzeto iz Nasi u WoS)
M-kategorija:	21M21 - Vodeći međunarodni časopis kategorije M21

1
SCOPUS^TM

Алт метрика

Dimensions

Unpaywall

Резултати на еНаука су заштићени ауторским правима и сва права су задржана, осим ако није другачије назначено.