
Possibilities of neural networks application in assessing the results of intravascular ultrasound (literature review)
Author(s) -
Павел Геннадьевич Мадонов,
Л. Д. Хидирова,
E.A. Kovalev
Publication year - 2021
Publication title -
journal of siberian medical sciences
Language(s) - English
Resource type - Journals
ISSN - 2542-1174
DOI - 10.31549/2542-1174-2021-2-127-135
Subject(s) - intravascular ultrasound , lumen (anatomy) , artificial neural network , ultrasound , medicine , computer science , radiology , artificial intelligence
The review considers the experience of neural networks use in assessing the results of intravascular ultrasound investigation (detection of vulnerable plaques, extraction of the lumen and layers of the vessel wall, prediction of the fractional fl ow reserve).