# COVID-19 - CT segmentation dataset

This is a dataset of 100 axial CT images.

## **Description**

This is a dataset of 100 axial CT images from the Italian Society of Medical and Interventional Radiology’s excellent collection of about 60 patients with Covid-19 that were converted from openly accessible JPG images.

## **Data type**

The database contains 60 cases with example CXRs and single slice CT-images. A simple download from these cases resulted in 110 usable, axial CT-images of confirmed COVID-19 cases.

The images were segmented by a radiologist using 3 labels: _ground-glass_ (mask value =1), _consolidation_ (=2) and _pleural effusion_ (=3). Then they trained a 2d multilabel U-Net model, which you can find and apply in [**MedSeg**](http://htmlsegmentation.s3.eu-north-1.amazonaws.com/index.html "http://htmlsegmentation.s3.eu-north-1.amazonaws.com/index.html"). 10 images were left out for validation/testing.

The conversion process is described in detail in the following post: **[Covid-19 radiology — data collection and preparation for Artificial Intelligence](https://medium.com/@hbjenssen/covid-19-radiology-data-collection-and-preparation-for-artificial-intelligence-4ecece97bb5b "https://medium.com/@hbjenssen/covid-19-radiology-data-collection-and-preparation-for-artificial-intelligence-4ecece97bb5b")**

## **Publications**

Post: [https://medium.com/@hbjenssen/covid-19-radiology-data-collection-and-preparation-for-artificial-intelligence-4ecece97bb5b](https://medium.com/@hbjenssen/covid-19-radiology-data-collection-and-preparation-for-artificial-intelligence-4ecece97bb5b "https://medium.com/@hbjenssen/covid-19-radiology-data-collection-and-preparation-for-artificial-intelligence-4ecece97bb5b")

## **Sites**

Italian Society of Medical and Interventional Radiology’s ( [https://www.sirm.org/category/senza-categoria/covid-19/](https://www.sirm.org/category/senza-categoria/covid-19/ "https://www.sirm.org/category/senza-categoria/covid-19/"))

## **Dataset size estimation**

| **Dataset** | **Total size aprox.** | **Session size aprox.** |
| --- | --- | --- |
| CT segmentation dataset | 167,4 MB | 1,5 MB |

## **Platform statistics**

| **Subjects** | **Sessions** | **Modalities** |
| --- | --- | --- |
| 110 | 110 | 110 CT + 110 segmentations (masks) |