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+<img src="input/logo_en.png" alt="medradiology.moscow" width="35%"/>
+
+CENTER OF DIAGNOSTICS AND TELEMEDICINE
+
+# MosMedData: chest XR with and without pulmonary nodules type VII 
+
+*** 
+
+
+# About Dataset
+
+> This dataset contains the results of chest XR with and without (normal) pulmonary nodules . 
+The research data were collected in the radiology departments of the Moscow medical
+facilities between 16.11.2017 and 06.04.2022.
+Two radiologists reviewed the studies and verified the presence of pulmonary nodules.
+(The Fleischner Society glossary defines "pulmonary nodule" as a tumor of 6 to 30 mm in size, located in the lung parenchyma).
+To make the dataset more balanced, we added chest CT studies w/o pathological findings.
+An expert (a radiologist with more than 10 years of experience) did a final review of the dataset and verified the studies based on the CT results (within 2 weeks after RG).
+The final dataset contains 100 studies: 50 w/ pathological changes (i.e., lung nodules); the other 50 w/o pathological changes.
+
+# Disclaimer
+
+>  Scope of use of this dataset:
+>
+> - development, training and validation of AI-powered services (incl. those based on the computer vision technologies)
+capable of detecting the pulmonary nodules;
+> - rising awareness among health professionals and the general public.
+>
+> The license permits **free use (sharing)** of this dataset which includes making copies and sharing on any medium or in any format, **under the following conditions**:
+>
+> - the dataset must contain a declaration of original authorship which includes:
+>   - contributors;
+>   - affiliations;
+>   - copyright notice;
+>   - permanent link to the dataset.
+> - link to the license.
+>
+The license **forbids** the following:
+>
+> - using this dataset for commercial purposes;
+> - sharing a modified or transformed dataset or any new dataset built upon the dataset;
+> - providing a fee-based access to the dataset;
+> - preventing the sharing of the dataset through any technical methods.
+
+<img src="input/cc.png" alt="medradiology.moscow" width="25%"/>
+
+# General Information
+
+***
+
+## Dataset Title
+
+MosMedData: chest XR with and without pulmonary nodules type VII
+
+## Internal Code
+
+LUNGNODULE
+
+## Annotation Class
+
+С-1
+
+## Verification
+
+Review by a specialist, investigation of another modality (CT)
+
+## Keywords
+
+MosMedData, chest, XR, x-ray, radiology, pulmonary nodes, lung malignancies, cancer, lung
+
+## Language
+
+English, Russian
+
+## Funding Sources
+
+This dataset was prepared by a group of authors as a part of the medical research project
+(No. USIS (in the Unified State Information System for Accounting of Research, Development, and Technological Works): 122112400040-1) “Reference datasets for sustainable development of artificial intelligence-based diagnostics to minimize the long-term impact of the COVID-19 pandemic on the health of the Moscow population”.
+
+## Dataset Version
+
+1.0.0
+
+## Permanent link
+
+[https://mosmed.ai/datasets/](https://mosmed.ai/datasets/)
+
+## Release Date
+
+26.07.2023
+
+# Affiliation and Contributors
+
+## Contributors
+
+> -  Vasilev Y.A. [1]
+> -  Vladzymyrskyy A.V. [1]
+> -  Arzamasov K.M. [1]
+> -  Busygina Y.S. [1]
+> -  Pankratov A.V. [1]
+> -  Shihmuradov D.U. [1]
+> -  Kokina D.Ju. [1]
+> -  Sahaschik U.A. [1]
+> -  Stetsjuk L.D. [1]
+> -  Novik V.P. [1]
+> -  Chetverikov S.F. [1]
+> -  Bobrovskaja T.M. [1]
+> -  Semenov S.S. [1]
+
+
+
+## Affiliation
+
+> [1] Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department.
+
+# Data Structure
+
+```
+.
+|-- dataset_registry.xlsx
+|-- README_EN.md
+|-- README_RU.md
+|-- README_EN.pdf
+|-- README_RU.pdf
+`-- studies
+    |--studyUID_X
+   |    |-- seriesUID_X
+   |    |    |-- UID_X.dcm
+   |    |    |-- UID_X.dcm
+   |    |    `-- ...
+   |    |
+   |    `-- seriesUID_X
+   |        |-- UID_X.dcm
+   |        |-- UID_X.dcm
+   |        `-- ...
+   |--studyUID_X
+   |    |-- seriesUID_X
+   |    |    |-- UID_X.dcm
+   |    |    |-- UID_X.dcm
+   |    |    `-- ...
+   |    |
+   |    `-- seriesUID_X
+   |        |-- UID_X.dcm
+   |        |-- UID_X.dcm
+   |        `-- ...
+   `--...
+
+
+```
+
+> - README_EN.md and README_RU.md contain general information about the dataset in the Markdown format in English and Russian languages, respectively. README_EN.pdf and README_RU.pdf contain the same information in the PDF format. 
+> - dataset_registry.xlsx contains a list of studies included in the dataset and the path to the corresponding dataset file.
+> - The Studies folder contains studyUID-X folders, each of which contains studies in DICOM format.
+
+# Data Overview
+
+| Property      | Value |
+| ---------------- | --- |
+| Number of studies, pcs.     | 100       |
+| Number of patients, ppl.   | 100        |
+| Distribution by sex,ppl (M/ F)   | 47/ 51        |
+| Distribution by age, years (min./ median/ max.)   | 18/ 58/ 87        |
+| Number of studies in each category, psc. (With pathology/ without pathological changes)    | 50/ 50        |
+
+# Sharing and Access Information
+
+## License
+
+>  Copyright © 2020 Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department.
+> This dataset is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License. 
+For more information see the LICENSE file or follow this [link](https://creativecommons.org/licenses/by-nc-nd/3.0/) for more information.
+
+## Citation
+
+> Recommended citation:
+>
+> Database registration certificate No. 2023622421 Russian Federation. MosMedData: chest XR with and without pulmonary nodules : No. 2023621436 : Appl. 05/19/2023 : publ. July 17, 2023 / Y. A. Vasiliev, A. V. Vladzimirskyy, K. M. Arzamasov [and others]; applicant: Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Healthcare Department.
+
+
+
+## Distribution
+
+> It is prohibited to share this dataset without specifying:
+>
+> - contributors;
+> - affiliations;
+> - copyright notice;
+> - permanent link to the dataset;
+> - link to the license.
+
+
+