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README.md

@@ -10,7 +10,7 @@ The images used in our dataset can be downloaded from [BaiduYun](https://pan.bai
 
 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)).
+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.