Creation of a Dataset of MSCT-Images and Clinical Data for Acute Cerebrovascular Events

Creation of a Dataset of MSCT-Images and Clinical Data for Acute Cerebrovascular Events

Background The use of neuroimaging methods is an integral part of the process of assisting patients with acute cerebrovascular events (ACVE), and computed tomography (CT) is the «gold standard» for examining this category of patients. The capabilities of the analysis of CT images may be significantl...

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Bibliographic Details
Main Authors: F. A. Sharifullin, D. D. Dolotova, T. G. Barmina, S. S. Petrikov, L. S. Kokov, G. R. Ramazanov, Y. R. Blagosklonova, I. V. Arkhipov, I. M. Skorobogach, N. N. Cheremushkin, V. V. Donitova, B. A. Kobrinski, A. V. Gavrilov
Format: Article
Language:Russian
Published: Sklifosovsky Research Institute for Emergency Medicine, Public Healthcare Institution of Moscow Healthcare Department 2020-10-01
Series:Неотложная медицинская помощь
Subjects:
dataset
stroke
computed tomography
dicom-images
radiomics
machine learning
Online Access:https://www.jnmp.ru/jour/article/view/936

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