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COVID-19 Chest X-ray Segmentations Dataset

COVID-19

Intro

Segmentations of COVID-19 Chest X-ray Dataset.

If you don't have time, go here for the latest version (updated regularly).

No Category Images Masks
1 Left Lung 99 99
2 Right Lung 100 100
3 Cardiomediastinum 100 100
4 Airways 99 99
5 Ground glass opacities 93 93
6 Consolidation 32 32
7 Pleural effusion 2 2
8 Pneumothorax 1 1
9 Endotracheal tube 13 13
10 Central veinous line 11 11
11 Monitoring probes 26 26
12 Nasogastric tube 10 10
13 Chest tube - -
14 Tubings 16 16


Table of Contents


Motivation

In this pandemic situation, our aim is to help researchers to find out a solution. In order to do that we are aiming to provide them with proper datasets that makes the process easier.

A repository to build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS, SARS, and ARDS.) was created by Joseph Paul Cohen. Data have been collected from public sources as well as through indirect collection from hospitals and physicians.

We are providing segmentations of those publicly available datasets.


About the Dataset

This dataset is a total collection of 100 images with Segmentations of Chest X-ray Dataset of Novel Coronavirus (COVID-19) Cases. The annotation file is in COCO format.

Each annotation contains segmentations of Anatomical classes (Left lung, Right lung, Cardiomediastinum, Airways), Pathology classes (Ground glass opacities, Consolidation, Pleural effusion, Pneumothorax), Objects (Endotracheal tube, Central veinous line, Monitoring probes, Nasogastric tube, Chest tube, Tubings). Each image was manually annotated by qualified radiologists.

Warning: Do not claim diagnostic performance of a model without a clinical study!

graph


Download the Dataset

Download the dataset as zip format

Download zip

Download using git clone

Open terminal and run the following command:

git clone https://github.com/GeneralBlockchain/covid-19-chest-xray-segmentations-dataset.git

Links and References

  • In case of any help you may need from us, please contact us directly without any hesitation! We will be glad to help you.

Who are we

We are General Blockchain Inc, a company developing technology to support the AI industry using blockchain technology.

Our vision is to build a programmable, human based, artificial intelligence.

The first application of this human computer is to provide image annotation services to the machine learning and artificial intelligence community.

Please access our Image Annotation AI services here, today.


Contact Us


License

Each image has license specified in the metadata.csv file. Including Apache 2.0, CC BY-NC-SA 4.0, CC BY 4.0.

The repository is licensed under Attribution 4.0 International (CC BY 4.0).


Special thanks to the following radiologists who worked to the best of their ability to make our research possible:

Dr. Ayoub El Hajjami

Dr. Mohamed Soliman