upload radiopaedia data

README.md

@@ -0,0 +1,29 @@
+# MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities
+This repository contains the curated MedGen-1M dataset proposed in MRGen: https://arxiv.org/abs/2412.04106/.
+
+## Some Information
+[Project Page](https://haoningwu3639.github.io/MRGen/) $\cdot$ [Paper](https://arxiv.org/abs/2412.04106/) $\cdot$ [Dataset](https://huggingface.co/datasets/haoningwu/MedGen-1M) $\cdot$ [Checkpoints](https://huggingface.co/haoningwu/MRGen)
+
+## Dataset
+Please check out [MedGen-1M](https://huggingface.co/datasets/haoningwu/MedGen-1M) to download our curated dataset, including two parts: `radiopaedia_data` and `conditional_dataset`.
+
+For the conditional dataset, we have directly provided our processed data, including the raw image, mask annotations, and text descriptions.
+
+As described in our paper, considering the data privacy concerns of [Radiopaedia](radiopaedia.org), we only release the JSON files of this part here.
+For each case, the format is represented as `./radiopaedia/{patient_id}/{case_id}/{volume_id}/{slice_id}.jpeg`, for example, `./radiopaedia/2564/1/MRI_4/1.jpeg`.
+This format allows you to locate the corresponding original volume through the `link` provided in our json files. 
+After obtaining official authorization from Radiopaedia, you may download the data corresponding to the JSON file on your own. 
+Alternatively, you can send the authorization via email to us (`[email protected]` or `[email protected]`) to obtain the download link for the image data in our MedGen-1M.
+
+## Citation
+If you use this dataset for your research or project, please cite:
+
+	@misc{wu2024mrgen,
+            author  = {Wu, Haoning and Zhao, Ziheng and Zhang, Ya and Xie, Weidi and Wang, Yanfeng},
+            title   = {MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities},
+            journal = {arXiv preprint arXiv:2412.04106},
+            year    = {2024},
+      }
+
+## Contact
+If you have any questions, please feel free to contact [email protected] or [email protected].

radiopaedia/README.md

@@ -0,0 +1,10 @@
+## Radiopaedia Data of MedGen-1M
+
+As described in our paper, considering the data privacy concerns of [Radiopaedia](radiopaedia.org), 
+we only release the JSON files of the curated data. 
+For each case, the format is represented as `./radiopaedia/{patient_id}/{case_id}/{volume_id}/{slice_id}`, 
+for example, 
+`./radiopaedia/2564/1/MRI_4/1.jpeg`. 
+This format allows you to locate the corresponding original volume through the `link` provided in our json files. 
+After obtaining official authorization from Radiopaedia, you may download the data corresponding to the JSON file on your own. 
+Alternatively, you can send the authorization via email to us (`[email protected]` or `[email protected]`) to obtain the download link for the image data in our MedGen-1M.

radiopaedia_abdomen_mri_image_annotated.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32823ac22a63f50000da06acdc0d635b1b6be883a7469cf860524e8b6f36e981
+size 210556135