MedSeg Covid Dataset 1
收藏Mendeley Data2024-01-31 更新2024-06-30 收录
下载链接：
https://figshare.com/articles/dataset/MedSeg_Covid_Dataset_1/13521488/1
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资源简介：
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: https://medium.com/@hbjenssen/covid-19-radiology-data-collection-and-preparation-for-artificial-intelligence-4ecece97bb5b 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
创建时间：
2024-01-31
