Datasets:
| 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。 | |