ASD9987's picture
Add dataset card (README.md)
c2d13fe verified
|
Raw
History Blame Contribute Delete
1.45 kB
---
license: cc-by-nc-4.0
task_categories:
- image-segmentation
tags:
- medical
- ct
- lesion-segmentation
- uls23
language:
- en
size_categories:
- 10K<n<100K
---
# ULS23 Processed Data
本仓库包含 [ULS23 Challenge](https://uls23.grand-challenge.org/) 的 processed training data,
目录结构与本地 `processed_data/` 一致。
## 目录结构
```
processed_data/
├── fully_annotated/ # 全标注数据 (~62 GB)
│ ├── LIDC-IDRI
│ ├── LiTS
│ ├── NIH_LN_ABD
│ ├── NIH_LN_MED
│ ├── kits21
│ ├── MDSC_Task06_Lung
│ ├── MDSC_Task07_Pancreas
│ └── MDSC_Task10_Colon
└── partially_annotated/ # 弱标注数据 (~149 GB)
├── DeepLesion
└── CCC18
```
## 引用
若使用本数据,请引用 ULS23 原始论文:
```
M.J.J. de Grauw, E.Th. Scholten, E.J. Smit, M.J.C.M. Rutten, M. Prokop, B. van Ginneken, A. Hering,
The ULS23 challenge: A baseline model and benchmark dataset for 3D universal lesion segmentation in computed tomography,
Medical Image Analysis, Volume 102, 2025, 103525.
https://doi.org/10.1016/j.media.2025.103525
```
## 原始数据来源
- 官方仓库: https://github.com/MJGrauw/ULS23
- Zenodo 下载: https://uls23.grand-challenge.org/datasets/
## 使用说明
数据为 ULS23 官方 processed 格式(NIfTI zip 等)。使用 MONAI 加载时请确保版本 >= 1.2.0。