Datasets
Models
Downloads: 1
Data:
De-identified
Image
Specialty:
Radiology
Respiratory Medicine
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Lungs
Demographics:
18-64
Multiple
Mixed
Clinical Purpose:
Diagnosis
Screening
Task:
Classification
Detection
Segmentation
License:
Unknown
De-identified
Image
Specialty:
Radiology
Respiratory Medicine
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Lungs
Demographics:
18-64
Multiple
Mixed
Clinical Purpose:
Diagnosis
Screening
Task:
Classification
Detection
Segmentation
License:
Unknown
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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>Content and 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"></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>Content and context</h1> |
| 2 | <p>Tuberculosis is a disease that affects many people in developing countries. While treatment is possible, it requires an accurate diagnosis first. In these countries projects there are in many cases available X-ray machines (through low-cost projects and donations), but often the radiological expertise is missing for accurately assessing the images. An algorithm that could perform this task quickly and cheaply could drastically improve the ability to diagnose and ultimately treat the disease.</p> |
2 | <p>Tuberculosis is a disease that affects many people in developing countries. While treatment is possible, it requires an accurate diagnosis first. In these countries projects there are in many cases available X-ray machines (through low-cost projects and donations), but often the radiological expertise is missing for accurately assessing the images. An algorithm that could perform this task quickly and cheaply could drastically improve the ability to diagnose and ultimately treat the disease.</p> |
| 3 | <p>In more developed countries, X-ray radiography is often used for screening new arrivals and determining eligibility for a work-permit. The task of manually examining images is time consuming and an algorithm could increase efficiency, improve performance and ultimately reduce cost of this screening. </p> |
3 | <p>In more developed countries, X-ray radiography is often used for screening new arrivals and determining eligibility for a work-permit. The task of manually examining images is time consuming and an algorithm could increase efficiency, improve performance and ultimately reduce cost of this screening. </p> |
| 4 | <p>This dataset contains over 500 x-rays scans with clinical labels collected by radiologists.</p> |
4 | <p>This dataset contains over 500 x-rays scans with clinical labels collected by radiologists.</p> |
| 5 | <h1>Acknowledgements</h1> |
5 | <h1>Acknowledgements</h1> |
| 6 | <p>The two datasets were published together in an analysis here: <a rel="noreferrer nofollow" aria-label="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256233/ (opens in a new tab)" target="_blank" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256233/">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256233/</a>.<br> |
6 | <p>The two datasets were published together in an analysis here: <a rel="noreferrer nofollow" aria-label="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256233/ (opens in a new tab)" target="_blank" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256233/">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256233/</a>.<br> |
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| 24 | <li>Experiment with lung segmentation</li> |
24 | <li>Experiment with lung segmentation</li> |
| 25 | <li>Build disease classifiers for various conditions</li> |
25 | <li>Build disease classifiers for various conditions</li> |
| 26 | <li>Test models on data across different manufacturers </li> |
26 | <li>Test models on data across different manufacturers </li> |
| 27 | <li>Build GANs that are able to make the datasets indistinguishable (Adversarial Discriminative Domain Adaptation: <a rel="noreferrer nofollow" aria-label="https://arxiv.org/abs/1702.05464 (opens in a new tab)" target="_blank" href="https://arxiv.org/abs/1702.05464">https://arxiv.org/abs/1702.05464</a>)</li> |
27 | <li>Build GANs that are able to make the datasets indistinguishable (Adversarial Discriminative Domain Adaptation: <a rel="noreferrer nofollow" aria-label="https://arxiv.org/abs/1702.05464 (opens in a new tab)" target="_blank" href="https://arxiv.org/abs/1702.05464">https://arxiv.org/abs/1702.05464</a>)</li> |
| 28 | </ul></div></div></div> |
28 | </ul></div></div></div> |