# RP3D-DiagDS

**Overview of RP3D-DiagDS.** There are **39,026 cases (192,675 scans)** across 7 human anatomy regions and 9 diverse modalities covering **930 ICD-10-CM codes**.

The images used in our dataset can be downloaded from [BaiduYun](https://pan.baidu.com/s/1E_uSoCLm5H66a7KkpRfi1g?pwd=urfg) or [OneDrive](https://onedrive.live.com/?authkey=%21AN6taBTpTQ16xqA&id=FCA8CA4C877919CB%2123996&cid=FCA8CA4C877919CB).

![results](./RP3D-DiagDS.png)

## About Dataset

There are totally 4 json files:

1. **RP3D_train**.json: Data used for model training. This file is organized at case level (there may be more than one kind of modality and anatomy in a case. For more details, refer to the paper [Large-scale Long-tailed Disease Diagnosis on Radiology](https://qiaoyu-zheng.github.io/RP3D-Diag).
2. **RP3D_test_json**: Data used for model evaluation.
3. **disorder_label_dict.json**: For disorder granularity. There are totally 5569 ( 5568 abnormal and 1 noraml) label. There disorders are sorted in descending order based on the corresponding case number for evaluation.
4. **icd10_label_dict.json**: For ICD-10-CM granularity. There are totally 931 ( 930 abnormal and 1 noraml) label. There disorders are sorted in descending order based on the corresponding case number for evaluation.

"""
Pay attention that: in RP3D_{train/test}.json file. A 'url' key corresponds to a 'Case', and there maybe multiple 'samples' in a 'Case' under the 'Samples' key
"""

## About Model Checkpoint

Please refer to [RP3D-DiagModel](https://huggingface.co/QiaoyuZheng/RP3D-DiagModel)


For more information about the code please refer to our instructions on [github](https://github.com/qiaoyu-zheng/RP3D-Diag) to download and use.