MOOD
This part is introduction and summarization of the 数据集.
腹部可视化图片
MOOD2023_1.webp
MOOD2023_0.png
数据集元信息
| 维度 | 3D |
| 模态 | ct |
| 任务类型 | other |
| 解剖结构 | None |
| 解剖区域 | brain, abdomen |
| 类别数 | 1 |
| 数据量 | 1300 |
| 文件格式 | .nii.gz |
文件结构
Dataset
│
├── brain
│ ├── brain_train
│ │ ├── xxx.nii.gz
│ │ ├── ...
│ │ ├── xxx.nii.gz
│ ├── toy
│ ├── toy_label
├── abdom
│ ├── abdom_train
│ │ ├── xxx.nii.gz
│ │ ├── ...
│ │ ├── xxx.nii.gz
│ ├── toy
│ ├── toy_label图像尺寸统计
| 统计类型 | 尺寸 |
|---|---|
| 最小值 | 256 x 256 x 256 |
| 最大值 | 512 x 512 x 512 |
引用
@article{zimmerer2022mood,
title={MOOD 2020: A public Benchmark for Out-of-Distribution Detection and Localization on medical Images},
author={Zimmerer, David and Full, Peter M and Isensee, Fabian and J{\"a}ger, Paul and Adler, Tim and Petersen, Jens and K{\"o}hler, Gregor and Ross, Tobias and Reinke, Annika and Kascenas, Antanas and others},
journal={IEEE Transactions on Medical Imaging},
volume={41},
number={10},
pages={2728--2738},
year={2022},
publisher={IEEE}
}