Datasets
Models
Downloads: 1
Data:
Image
Specialty:
Radiology
Respiratory Medicine
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Chest
Lungs
Clinical Purpose:
Diagnosis
Task:
Classification
Detection
License:
Creative Commons Attribution 4.0
Image
Specialty:
Radiology
Respiratory Medicine
Medical Imaging Technique:
X-Ray
Medical Imaging Region:
Chest
Lungs
Clinical Purpose:
Diagnosis
Task:
Classification
Detection
License:
Creative Commons Attribution 4.0
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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"><h3>Context</h3> |
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 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"><h3>Context</h3> |
| 2 | <p>This dataset was used to perform the Pneumonia detection using Convolutional Neural Network.</p> |
2 | <p>This dataset was used to perform the Pneumonia detection using Convolutional Neural Network.</p> |
| 3 | <h3>Content</h3> |
3 | <h3>Content</h3> |
| 4 | <p>This dataset mainly consists of the chest X-ray images of Normal and Pneumonia affected patients. There is a total of 5840 chest X-ray images. It has two folders named train and test. Each of them has two sub-folders labeled as NORMAL and PNEUMONIA. This dataset can be used to detect pneumonia by training a convolutional neural network. A sample of the dataset content is given below:</p> |
4 | <p>This dataset mainly consists of the chest X-ray images of Normal and Pneumonia affected patients. There is a total of 5840 chest X-ray images. It has two folders named train and test. Each of them has two sub-folders labeled as NORMAL and PNEUMONIA. This dataset can be used to detect pneumonia by training a convolutional neural network. A sample of the dataset content is given below:</p> |
| 5 | <p><img alt="" src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4298011%2F092cd8598575c60c27fedad4d7998e66%2FjZqpV51.png?generation=1600531874588151&alt=media"></p> |
5 | <p><img alt="" src="https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4298011%2F092cd8598575c60c27fedad4d7998e66%2FjZqpV51.png?generation=1600531874588151&alt=media"></p> |
| 6 | <h3>Acknowledgements</h3> |
6 | <h3>Acknowledgements</h3> |
| 7 | <p>This dataset was collected from <a aria-label="Chest X-ray Images (opens in a new tab)" target="_blank" href="https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia">Chest X-ray Images</a>. </p></div></div></div></div></div> |
7 | <p>This dataset was collected from <a aria-label="Chest X-ray Images (opens in a new tab)" target="_blank" href="https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia">Chest X-ray Images</a>. </p></div></div></div></div></div> |