Abstract

The 3DLSC-COVID datset includes a total of 1,805 3D chest CT scans with more than 570,000 CT slices were collected from 2 standard CT scanners of Liyuan Hospital, i.e., UIH uCT 510 and GE Optima CT600. Among all CT scans, there were 794 positive cases of COVID-19, which were further confirmed by clinical symptoms and RT-PCR from January 16 to April 16, 2020. Additionally, 540 positive cases of CAP, 471 non-pneumonia cases were randomly selected from the same hospital between November 5, 2016 and April 28, 2020. Part of the CT scans (including 100 COVID-19 and 32 CAP cases) along with the corresponding lesion annotations have already passed the open source approval process and are now available. Other CT images and the correspoding lesion annotations wil be open sourced soon. If you have any questions, please contact xfwang@buaa.edu.cn. Note that the data can only used for academic purpose.

Instructions:

You can refer to the TMI 2021 paper entitled ''Joint learning of 3D leasion segmentation and classification for explainable COVID-19 diagnosis''.

Comments

This dataset is a great inspiration for me

Submitted by Yachao Zhang on Fri, 05/28/2021 - 05:03

Do you have compelete datasets?

Submitted by Wenjing Gao on Tue, 11/22/2022 - 01:40

Thanks

Submitted by Arthur Ryan on Sun, 10/31/2021 - 23:20

Thanks

Dataset Rating:

Submitted by linlin xu on Thu, 12/02/2021 - 07:21

Thansk

Submitted by zhengwen Ma on Thu, 12/30/2021 - 01:46

Dataset Files

3DLSC-COVID.zip (10.30 GB)

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Standard Dataset

3DLSC-COVID

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