MedSeg Covid Dataset 1

This is a dataset of 100 axial CT images from >40 patients with COVID-19 that were converted from openly accessible JPG images found at https://www.sirm.org/en/ . The conversion process is described in detail in the following blogpost: Covid-19 radiology — data collection and preparation for Artificial Intelligence

In short, the images were segmented by a radiologist using 3 labels: ground-glass (mask value =1), consolidation (=2) and pleural effusion (=3). We then trained a 2d multilabel U-Net model, which you can find and apply in MedSeg