STOIC2021 Training

The STOIC project collected Computed Tomography (CT) images of 10,735 individuals suspected of being infected with SARS-COV-2 during the first wave of the pandemic in France, from March to April 2020. For each patient in the training set, the dataset contains binary labels for COVID-19 presence, based on RT-PCR test results, and COVID-19 severity, defined as intubation or death within one month from the acquisition of the CT scan. This S3 bucket contains the training sample of the STOIC dataset as used in the STOIC2021 challenge on grand-challenge.org.

搜集汇总

背景与挑战

背景概述

STOIC2021 Training是一个用于COVID-19检测和严重程度预测的CT图像数据集，包含2000个训练样本，每个样本提供二进制标签，表示COVID-19阳性与否以及是否出现严重结局（插管或死亡）。数据集源自法国第一波疫情期间的10735名疑似患者，以压缩.mha格式存储，并附带参考标签文件。