https://academictorrents.com/details/0a3611528c9172383656cb1b6a07cfb7f095eb82
Abstract:
Average 4DCT or free-breathing (FB) CT images from 60 patients, depending on clinical practice, are used for this challenge. Data were acquired from 3 institutions (20 each). Datasets were divided into three groups, stratified per institution:
36 training datasets 12 off-site test datasets 12 live test datasets
Collection Statistics | |
---|---|
Image Size (GB) | 4.8 |
Modalities | CT, RT |
Number of Images | 9569 |
Number of Patients | 60 |
Number of Series | 96 |
Number of Studies | 60 |
URL: https://wiki.cancerimagingarchive.net/display/Public/Lung+CT+Segmentation+Challenge+2017
License: Creative Commons Attribution 3.0 Unported License
领域场景: | 未指定 |
领域问题: | 未指定 |
领域应用: | 未指定 |
应用案例: | 未指定 |