README.md

metadata

tags:
  - X-ray
  - Wrist
  - Segmentation
  - Classification
license: cc-by-4.0

Dataset Card for RAM-W600

Benchmark code is available in https://github.com/YSongxiao/RAM-W600.

Download

Please run the following command to download RAM-W600:

git clone https://huggingface.co/datasets/TokyoTechMagicYang/RAM-W600

BoneSegmentation Mask Channel Mapping

The BoneSegmentation masks are stored as 14-channel .npy arrays with shape:

(14, H, W)

Each channel is a binary mask for one anatomical structure. The official channel order is:

Channel ID	Anatomy name	Description
0	Capitate	Capitate bone
1	DistalRadius	Distal radius
2	DistalUlna	Distal ulna
3	Hamate	Hamate bone
4	Lunate	Lunate bone
5	Tri	Triquetrum / pisiform region
6	Scaphoid	Scaphoid bone
7	Trapzium	Trapezium bone
8	Trapezoid	Trapezoid bone
9	Metacarpal1st	First metacarpal
10	Metacarpal2nd	Second metacarpal
11	Metacarpal3rd	Third metacarpal
12	Metacarpal4th	Fourth metacarpal
13	Metacarpal5th	Fifth metacarpal

The channel semantics are fixed across all samples. If images are canonicalized by hand side, this changes only the image orientation; it does not change the anatomical meaning of the channels.

Citation

If you use RAM-W600 in your research, please cite:

@article{yang2026ram,
  title={RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis},
  author={Yang, Songxiao and Wang, Haolin and Fu, Yao and Tian, Ye and Kamishima, Tamotsu and Ikebe, Masayuki and Ou, Yafei and Okutomi, Masatoshi},
  journal={Advances in Neural Information Processing Systems},
  volume={38},
  year={2026}
}

Suggested Citation

If you use the benchmark code or experimental settings, we also recommend citing:

@misc{yang2026ramh1200,
  title={RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis},
  author={Songxiao Yang and Haolin Wang and Yao Fu and Junmu Peng and Lin Fan and Hongruixuan Chen and Jian Song and Masayuki Ikebe and Shinya Takamaeda-Yamazaki and Masatoshi Okutomi and Tamotsu Kamishima and Yafei Ou},
  year={2026},
  eprint={2605.05616},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2605.05616}
}