Datasets
Models
Downloads: 2
Data:
Image
Specialty:
Radiology
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Chest
Lungs
Demographics:
18-64
65+
Mixed
Clinical Purpose:
Diagnosis
Screening
Task:
Classification
Detection
License:
Creative Commons Attribution Non Commercial No Derivatives 3.0
Image
Specialty:
Radiology
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Chest
Lungs
Demographics:
18-64
65+
Mixed
Clinical Purpose:
Diagnosis
Screening
Task:
Classification
Detection
License:
Creative Commons Attribution Non Commercial No Derivatives 3.0
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| a/README.md | b/README.md | ||
|---|---|---|---|
| 1 | <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> |
1 | <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">Chest X-Ray Pulmonary Nodules</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> |
| 2 | <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> |
2 | <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> |
| 3 | <p>The resulting dataset comprises 100 studies, evenly split into two categories:</p> |
3 | <p>The resulting dataset comprises 100 studies, evenly split into two categories:</p> |
| 4 | <ul> |
4 | <ul> |
| 5 | <li>50 studies with pathological changes (i.e., lung nodules)</li> |
5 | <li>50 studies with pathological changes (i.e., lung nodules)</li> |
| 6 | <li>50 studies without pathological changes.</li> |
6 | <li>50 studies without pathological changes.</li> |
... |
... |
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| 66 | 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> |
66 | 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> |
| 67 | 67 | ||
| 68 | <p>Database registration certificate No. 2023622421 Russian Federation. MosMedData: chest XR with and without pulmonary nodules : <br> |
68 | <p>Database registration certificate No. 2023622421 Russian Federation. MosMedData: chest XR with and without pulmonary nodules : <br> |
| 69 | No. 2023621436 : Appl. 05/19/2023 : publ. July 17, 2023 / Y. A. Vasiliev, A. V. Vladzimirskyy, K. M. Arzamasov [and others]; <br> |
69 | No. 2023621436 : Appl. 05/19/2023 : publ. July 17, 2023 / Y. A. Vasiliev, A. V. Vladzimirskyy, K. M. Arzamasov [and others]; <br> |
| 70 | applicant: Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Healthcare Department.</p> |
70 | applicant: Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Healthcare Department.</p> |