Update README.md
Browse files
README.md
CHANGED
|
@@ -21,6 +21,8 @@ the joint training of disease classification, localization, segmentation, and re
|
|
| 21 |
publicly available datasets, such as MIMIC-CXR, VinDr-CXR, and ChestX-Det10. For each image,
|
| 22 |
it can potentially contribute to multiple tasks, such as report generation and classification.
|
| 23 |
|
|
|
|
|
|
|
| 24 |
## Dataset Details
|
| 25 |
- [**MIMIC:**](https://physionet.org/content/mimic-cxr/2.0.0/) contains more than 377,110 radiograph images from over 227,835 radiographic studies. Each radiograph is paired with lesion classification and associated radiology report. It
|
| 26 |
is used for multi-label classification and report generation tasks.
|
|
|
|
| 21 |
publicly available datasets, such as MIMIC-CXR, VinDr-CXR, and ChestX-Det10. For each image,
|
| 22 |
it can potentially contribute to multiple tasks, such as report generation and classification.
|
| 23 |
|
| 24 |
+
**NOTE**: Due to requirements related to data compliance and other regulations, the dataset is temporarily unavailable. However, for each task, we will provide a showcase of five samples.
|
| 25 |
+
|
| 26 |
## Dataset Details
|
| 27 |
- [**MIMIC:**](https://physionet.org/content/mimic-cxr/2.0.0/) contains more than 377,110 radiograph images from over 227,835 radiographic studies. Each radiograph is paired with lesion classification and associated radiology report. It
|
| 28 |
is used for multi-label classification and report generation tasks.
|