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eNauka >  Rezultati >  Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods
Naziv: Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods
Autori: Valjarević, Svetlana; Jovanović, Milan B.  ; Miladinović, Nenad; Čumić, Jelena; Dugalić, Stefan V.  ; Corridon, Peter R.; Pantic, Igor V.  
Godina: 2023
Publikacija: Microscopy and microanalysis
ISSN: 1431-9276 Microscopy and Microanalysis Pretraži identifikator
Izdavač: [Oxford] : Oxford University Press
Tip rezultata: Naučni članak
Kolacija: vol. 29 br. 3 str. 1220-1227
DOI: 10.1093/micmic/ozad042
WoS-ID: 000974141800001
Scopus-ID: 2-s2.0-85152526918
PMID: 37749686
URI: https://enauka.gov.rs/handle/123456789/826515
URL: https://academic.oup.com/mam/article-abstract/29/3/1220/7127992?redirectedFrom=fulltext&login=false
Projekat: SensoFracTW - Automated sensing system based on fractal, textural and wavelet computational methods for detection of low-level cellular damage
Ministry of Education and Science of the Republic of Serbia [200110]
Khalifa University of Science and Technology [FSU-2020-25, RC2-2018-022]
College of Medicine and Health Sciences, Abu Dhabi, United Ar
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
M-kategorija: 
21M21 - Rad u vrhunskom međ. časopisu

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