Application of machine learning in neuroradiology (literature review)

Neuroradiology is a branch of medical imaging focused on diagnosing diseases of the brain, spine, and nervous system using radiological methods (computed tomography, magnetic resonance imaging, positron emission tomography, etc.). In recent decades, artificial intelligence – particularly machine lea...

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Bibliografski detalji

Glavni autori:	S.V. Konotopchyk, D.V. Shchehlov, S.O. Kolomiichenko, Yu.P. Ternytska, O.F. Sydorenko, M.Yu. Mamonova, A.О. Pysarenko, V.O. Svyrydiuk, M.B. Vyval
Format:	Artigo
Jezik:	Inglês
Izdano:	NAMS of Ukraine, State Organization "Scientific-Practical Center of Endovascular Neuroradiology, Non-Governmental Organization “All Ukrainian Association of Endovascular Neuroradiology, Shupyk National Healthcare University of Ukraine 2025-11-01
Serija:	Українська Інтервенційна Нейрорадіологія та Хірургія
Teme:	machine learning; deep learning; artificial intelligence; ischemic stroke; large vessel occlusion; brain tumors; neurodegenerative diseases.
Online pristup:	https://enj.org.ua/index.php/journal/article/view/301
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