About: MosMedData: Chest CT Scans with COVID-19 Related Findings

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	MosMedData: Chest CT Scans with COVID-19 Related Findings
Creator	Morozov, S Andreychenko, A Blokhin, I Chernina, V Gelezhe, P Gombolevskiy, V Gonchar, A Ledikhova, N Pavlov, N Vladzymyrskyy, A
source	MedRxiv
abstract	This dataset contains anonymised human lung computed tomography (CT) scans with COVID-19 related findings, as well as without such findings. A small subset of studies has been annotated with binary pixel masks depicting regions of interests (ground-glass opacifications and consolidations). CT scans were obtained between 1st of March, 2020 and 25th of April, 2020, and provided by municipal hospitals in Moscow, Russia. Permanent link: https://mosmed.ai/datasets/covid19_1110. This dataset is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License.
has issue date	2020-05-22(xsd:dateTime)
bibo:doi	10.1101/2020.05.20.20100362
has license	medrxiv
sha1sum (hex)	aa26101b84546e6117c081fa649e499f1b471902
schema:url	https://doi.org/10.1101/2020.05.20.20100362
resource representing a document's title	MosMedData: Chest CT Scans with COVID-19 Related Findings
resource representing a document's body	covid:aa26101b84546e6117c081fa649e499f1b471902#body_text
is schema:about of	named entity 'human lung' named entity 'CT scans' named entity 'https' named entity 'ANNOTATED' named entity 'SMALL' named entity 'CT SCANS' named entity 'subset' named entity 'dataset' named entity 'This' named entity 'computed tomography' named entity 'Creative Commons' named entity 'Moscow' named entity 'Attribution-NonCommercial-NoDerivs 3.0 Unported' named entity 'COVID-19' named entity 'diagnostic evaluation' named entity 'intensive care unit' named entity 'medical workers' named entity 'COVID-19' named entity 'Moscow' named entity 'human resources' named entity 'COVID-19 pandemic' named entity 'medRxiv' named entity 'medical facilities' named entity 'classification model' named entity 'radiology' named entity 'outpatient' named entity 'Triaging' named entity 'respiratory symptoms' named entity 'differential diagnostic' named entity 'Gzip' named entity 'Attribution-NonCommercial-NoDerivs 3.0 Unported' named entity 'CC BY-NC-ND 3.0' named entity 'Russia' named entity 'outpatient' named entity 'Moscow' named entity 'lung tissue' named entity 'Moscow' named entity 'preventive measures' named entity 'medRxiv' named entity 'copyright holder' named entity 'high-quality' named entity 'outpatient setting' named entity 'automation' named entity 'telemedicine' named entity 'clinical data' named entity 'COVID-19' named entity 'burnout' named entity 'computed tomography' named entity 'Ethics' named entity 'human lung' named entity 'high-quality' named entity 'Independent Ethics Committee' named entity 'preprint' named entity 'preprint' named entity 'preprint' named entity 'COVID-19' named entity 'Russia' named entity 'subset' named entity 'healthcare workers' named entity 'COVID-19' named entity 'COVID-19' named entity 'emergency care' named entity 'clinical decision-making' named entity 'CT scanner' named entity 'COVID-19' named entity 'Computed tomography' named entity 'CC BY-NC-ND 3.0' named entity 'COVID-19' named entity 'Permanent' named entity 'studies' named entity 'human lung' named entity 'REGIONS' named entity 'PERMANENT' named entity 'pixel' named entity 'SCANS' named entity 'CONTAINS'

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