Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods

Valjarević, Svetlana; Jovanović, Milan B.; Miladinović, Nenad; Čumić, Jelena; Dugalić, Stefan V.; Corridon, Peter R.; Pantic, Igor V.

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eNauka > Results > Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods

Title:	Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods
Authors:	Valjarević, Svetlana; Jovanović, Milan B. ; Miladinović, Nenad; Čumić, Jelena; Dugalić, Stefan V. ; Corridon, Peter R.; Pantic, Igor V.
Issue Date:	2023
Publication:	Microscopy and microanalysis
ISSN:	1431-9276 Microscopy and Microanalysis Search Idenfier
Publisher:	[Oxford] : Oxford University Press
Type:	Article
Collation:	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
Project:	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
Metadata source:	(Preuzeto iz Nasi u WoS)
M-category:	21M21

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