MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
S.P. Morozov, A.E. Andreychenko, N.A. Pavlov, A.V. Vladzymyrskyy, N.V., Ledikhova, V.A. Gombolevskiy, I.A. Blokhin, P.B. Gelezhe, A.V. Gonchar, V.Yu., Chernina
TL;DR
The paper introduces MosMedData, a comprehensive dataset of anonymized chest CT scans with COVID-19 findings, including annotated regions, to support AI research in COVID-19 diagnosis.
Contribution
It provides a publicly available, annotated dataset of COVID-19 related chest CT scans for machine learning and AI research.
Findings
Dataset includes 1110 anonymized CT scans.
Contains annotated regions of interest for some scans.
Supports development of AI diagnostic tools.
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. Key words: artificial intelligence, COVID-19, machine learning, dataset, CT, chest, imaging
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Taxonomy
TopicsCOVID-19 diagnosis using AI · Radiomics and Machine Learning in Medical Imaging · AI in cancer detection