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COVID-19-CHU-Sfax
- Citation Author(s):
- Submitted by:
- Zeineb FKI
- Last updated:
- Fri, 10/21/2022 - 01:27
- DOI:
- 10.21227/ahtr-rh57
- License:
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Abstract
The dataset includes annotated Computed Tomography (CT) scanned images. The labels consist of three types:
- COVID-19 labels indicate whether an expert detects the presence of a COVID-19 lesion.
- NON-COVID-Normal labels indicate the normal clinical outcome diagnosed by the medical expert.
- Pathological-NON-COVID labels indicate the presence of disease other than COVID-19 detected by the expert.
All the CT examinations were performed in the imaging department of Hedi Chaker Hospital (Sfax-Tunisia) between January and May 2022, using a 64-slice multi-detector CT scanner. A lung parenchymal window reconstruction with a hard filter (B50- B70) is essential for the interpretation of CT images. 1017 CT images of COVID-19 pneumonia as well as 723 CT images of normal lung aspects are collected.
Instructions:
You may contact us at zeinebfki@gmail.com for inquiries about using data from the repository.
Please cite as:
Zeineb Fki, Boudour Ammar, Hela Fendri, Emna Daoued, Zeineb Mnif, Mounir Ben Ayed, COVID-19-CHU-Sfax
(other details to be announced)