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数据集概述
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
数据集详情
暂无
数据集元数据
暂无
概念层次
| 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 |
