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 or OneDrive.

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.
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.

Attention! 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

For more information about the code please refer to our instructions on github to download and use.