Datasets
Models
Downloads: 1
Data:
Image
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Chest
Heart
Lungs
Clinical Purpose:
Diagnosis
Task:
Detection
Segmentation
License:
Other
Image
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Chest
Heart
Lungs
Clinical Purpose:
Diagnosis
Task:
Detection
Segmentation
License:
Other
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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"><h1>Context</h1> |
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 Labeled Features</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"><h1>Context</h1> |
| 2 | <p>This dataset was created to assist with completion of the following Kaggle competition, <br> |
2 | <p>This dataset was created to assist with completion of the following Kaggle competition, <br> |
| 3 | <a aria-label="https://www.kaggle.com/c/siim-covid19-detection/overview (opens in a new tab)" target="_blank" href="https://www.kaggle.com/c/siim-covid19-detection/overview">https://www.kaggle.com/c/siim-covid19-detection/overview</a></p> |
3 | <a aria-label="https://www.kaggle.com/c/siim-covid19-detection/overview (opens in a new tab)" target="_blank" href="https://www.kaggle.com/c/siim-covid19-detection/overview">https://www.kaggle.com/c/siim-covid19-detection/overview</a></p> |
| 4 | <h1>Content</h1> |
4 | <h1>Content</h1> |
| 5 | <p>This dataset consists of 60 xray images of the chest region, and a corresponding numpy file of labels. Each numpy label file, consists of a 4x(width)x(height), where the first dimension specifies <br> |
5 | <p>This dataset consists of 60 xray images of the chest region, and a corresponding numpy file of labels. Each numpy label file, consists of a 4x(width)x(height), where the first dimension specifies <br> |
| 6 | lungs 0<br> |
6 | lungs 0<br> |
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... |
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| 20 | <p>Tsai, E., Simpson, S., Lungren, M.P., Hershman, M., Roshkovan, L., Colak, E., Erickson, B.J., Shih, G., Stein, A.,Kalpathy-Cramer, J., Shen, J.,Hafez, M.A.F., John, S., Rajiah, P., Pogatchnik, B.P., Mongan, J.T., Altinmakas, E., Ranschaert, E., Kitamura, F.C., Topff, L., Moy, L., Kanne, J.P., & Wu, C. (2021). Data from Medical Imaging Data Resource Center (MIDRC) - RSNA International COVID Radiology Database (RICORD) Release 1c - Chest x-ray, Covid+ (MIDRC-RICORD-1c). The Cancer Imaging Archive. DOI: <a rel="noreferrer nofollow" aria-label="https://doi.org/10.7937/91ah-v663 (opens in a new tab)" target="_blank" href="https://doi.org/10.7937/91ah-v663">https://doi.org/10.7937/91ah-v663</a>.</p> |
20 | <p>Tsai, E., Simpson, S., Lungren, M.P., Hershman, M., Roshkovan, L., Colak, E., Erickson, B.J., Shih, G., Stein, A.,Kalpathy-Cramer, J., Shen, J.,Hafez, M.A.F., John, S., Rajiah, P., Pogatchnik, B.P., Mongan, J.T., Altinmakas, E., Ranschaert, E., Kitamura, F.C., Topff, L., Moy, L., Kanne, J.P., & Wu, C. (2021). Data from Medical Imaging Data Resource Center (MIDRC) - RSNA International COVID Radiology Database (RICORD) Release 1c - Chest x-ray, Covid+ (MIDRC-RICORD-1c). The Cancer Imaging Archive. DOI: <a rel="noreferrer nofollow" aria-label="https://doi.org/10.7937/91ah-v663 (opens in a new tab)" target="_blank" href="https://doi.org/10.7937/91ah-v663">https://doi.org/10.7937/91ah-v663</a>.</p> |
| 21 | <p>Publication Citation</p> |
21 | <p>Publication Citation</p> |
| 22 | <p>Tsai, E. B., Simpson, S., Lungren, M., Hershman, M., Roshkovan, L., Colak, E., Erickson, B. J., Shih, G., Stein, A., Kalpathy-Cramer, J., Shen, J., Hafez, M., John, S., Rajiah, P., Pogatchnik, B. P., Mongan, J., Altinmakas, E., Ranschaert, E. R., Kitamura, F. C., … Wu, C. C. (2021). The RSNA International COVID-19 Open Annotated Radiology Database (RICORD). Radiology, 203957. DOI: <a rel="noreferrer nofollow" aria-label="https://doi.org/10.1148/radiol.2021203957 (opens in a new tab)" target="_blank" href="https://doi.org/10.1148/radiol.2021203957">https://doi.org/10.1148/radiol.2021203957</a></p> |
22 | <p>Tsai, E. B., Simpson, S., Lungren, M., Hershman, M., Roshkovan, L., Colak, E., Erickson, B. J., Shih, G., Stein, A., Kalpathy-Cramer, J., Shen, J., Hafez, M., John, S., Rajiah, P., Pogatchnik, B. P., Mongan, J., Altinmakas, E., Ranschaert, E. R., Kitamura, F. C., … Wu, C. C. (2021). The RSNA International COVID-19 Open Annotated Radiology Database (RICORD). Radiology, 203957. DOI: <a rel="noreferrer nofollow" aria-label="https://doi.org/10.1148/radiol.2021203957 (opens in a new tab)" target="_blank" href="https://doi.org/10.1148/radiol.2021203957">https://doi.org/10.1148/radiol.2021203957</a></p> |
| 23 | <p>TCIA Citation</p> |
23 | <p>TCIA Citation</p> |
| 24 | <p>Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7</p> |
24 | <p>Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7</p> |