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<div class="sc-kdrUpr eZtUed"><div class="sc-UEtKG dGqiYy sc-hDzlxo bEIZRR"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-fHzVOS cUYeeo"><div class="sc-davvxH nUNNB"><div style="min-height: 80px;"><div class="sc-etVRix bfyesi sc-jCNfQM igJSrG"><p>This dataset contains the results of chest XR with and without (normal) pulmonary nodules .  </p>
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<p>According to the Fleischner Society glossary, a "pulmonary nodule" is defined as a tumor ranging from 6 to 30 mm in size located in the lung parenchyma.</p>
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<p>The resulting dataset comprises 100 studies, evenly split into two categories:</p>
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<ul>
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<li>50 studies with pathological changes (i.e., lung nodules)</li>
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<li>50 studies without pathological changes.</li>
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</ul>
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<h1>Data Overview</h1>
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<table>
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<thead>
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<tr>
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<th>Property</th>
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<th>Value</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Number of studies, pcs.</td>
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<td>100</td>
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</tr>
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<tr>
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<td>Number of patients, ppl.</td>
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<td>100</td>
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</tr>
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<tr>
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<td>Distribution by sex,ppl (M/ F)</td>
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<td>47/ 51</td>
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</tr>
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<tr>
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<td>Distribution by age, years (min./ median/ max.)</td>
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<td>18/ 58/ 87</td>
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</tr>
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<tr>
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<td>Number of studies in each category, psc. (With pathology/ without pathological changes)</td>
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<td>50/ 50</td>
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</tr>
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</tbody>
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</table>
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<h2>Contributors</h2>
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<blockquote>
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  <ul>
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  <li>Vasilev Y.A. [1]</li>
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  <li>Vladzymyrskyy A.V. [1]</li>
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  <li>Arzamasov K.M. [1]</li>
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  <li>Busygina Y.S. [1]</li>
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  <li>Pankratov A.V. [1]</li>
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  <li>Shihmuradov D.U. [1]</li>
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  <li>Kokina D.Ju. [1]</li>
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  <li>Sahaschik U.A. [1]</li>
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  <li>Stetsjuk L.D. [1]</li>
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  <li>Novik V.P. [1]</li>
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  <li>Chetverikov S.F. [1]</li>
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  <li>Bobrovskaja T.M. [1]</li>
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  <li>Semenov S.S. [1]</li>
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  </ul>
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</blockquote>
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<h2>Affiliation</h2>
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<blockquote>
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  <p>[1] Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department.</p>
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</blockquote>
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<h2>License</h2>
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<blockquote>
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  <p>Copyright © 2020 Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department.<br>
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  This dataset is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License. <br>
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  For more information see the LICENSE file or follow this <a rel="noreferrer nofollow" aria-label="link (opens in a new tab)" target="_blank" href="https://creativecommons.org/licenses/by-nc-nd/3.0/">link</a> for more information.</p>
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</blockquote>
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<p>Database registration certificate No. 2023622421 Russian Federation. MosMedData: chest XR with and without pulmonary nodules :  <br>
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No. 2023621436 : Appl. 05/19/2023 : publ. July 17, 2023 / Y. A. Vasiliev, A. V. Vladzimirskyy, K. M. Arzamasov [and others];   <br>
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applicant: Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Healthcare Department.</p>
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<blockquote>
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  <ul>
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  <li><a rel="noreferrer nofollow" aria-label="Permanent link to the dataset. (opens in a new tab)" target="_blank" href="https://mosmed.ai/datasets/mosmeddatargogksnalichiemiotsutstviemlegochnihuzlovtipvii/">Permanent link to the dataset.</a></li>
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  </ul>
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</blockquote></div></div></div>