FLARE 2021
FLARE 2021是一个专注于腹部四大器官（肝脏、脾脏、胰腺和肾脏）分割的CT数据集，也是FLARE系列竞赛的首届赛事。FLARE 2022和FLARE 2023数据集已在前期文章中介绍过，本文补充介绍FLARE 2021。该挑战赛数据集来源于公开数据集如MSD（肝脏、脾脏、胰腺）、NIH胰腺、KiTS19、LiTS，以及南京大学收集的私有数据集。数据集包含361例训练案例、50例验证案例和100例测试案例。
腹部可视化图片
可视化图片 1
可视化图片 2
可视化图片 3
数据集元信息
| 维度 | 3D |
| 模态 | ct |
| 任务类型 | segmentation |
| 解剖结构 | 肝脏、肾脏、脾脏、胰腺 |
| 解剖区域 | 腹部 |
| 类别数 | 4 |
| 数据量 | 训练集361例，验证集50例，测试集100例 |
| 文件格式 | .nii.gz |
文件结构
FLARE21
│
├── imagesTr
│ ├── train_000.nii.gz
│ └── ...
│
├── labelsTr
│ ├── train_000.nii.gz
│ └── ...
├── imagesTs
│ ├── validation_001.nii.gz
│ └── ...图像尺寸统计
| 统计类型 | 间距 (mm) | 尺寸 |
|---|---|---|
| 最小值 | (0.61,0.61,0.5) |
(512,512,37) |
| 中位值 | (0.82,0.82,2.5) |
(512,512,97) |
| 最大值 | (0.98,0.98,7.5) |
(512,512,751) |
引用
@article{MedIA-FLARE21,
title = {Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge},
author = {Jun Ma and Yao Zhang and Song Gu and Xingle An and Zhihe Wang and Cheng Ge and Congcong Wang and Fan Zhang and Yu Wang and Yinan Xu and Shuiping Gou and Franz Thaler and Christian Payer and Darko Štern and Edward G.A. Henderson and Dónal M. McSweeney and Andrew Green and Price Jackson and Lachlan McIntosh and Quoc-Cuong Nguyen and Abdul Qayyum and Pierre-Henri Conze and Ziyan Huang and Ziqi Zhou and Deng-Ping Fan and Huan Xiong and Guoqiang Dong and Qiongjie Zhu and Jian He and Xiaoping Yang},
journal = {Medical Image Analysis},
pages = {102616},
volume = {82},
year = {2022}
}