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This is the official data repository for [RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining](https://www.arxiv.org/abs/2503.04653).
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We mine image-paired report to extract findings on diverse anatomy structures, and quantify the multi-grained image-image relevance via [RaTEScore](https://arxiv.org/abs/2406.16845).
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Specifically, we have extended two public datasets for multi-grained medical image retrieval task:
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- MIMIC-IR is extended from [MIMIC-CXR](https://physionet.org/content/mimic-cxr/2.1.0/), containing 377,110 images and 90 anatomy structures.
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This is the official data repository for [RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining](https://www.arxiv.org/abs/2503.04653).
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If you try to build RadIR with the data we provide, please refer to this [repo](https://github.com/MAGIC-AI4Med/RadIR).
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We mine image-paired report to extract findings on diverse anatomy structures, and quantify the multi-grained image-image relevance via [RaTEScore](https://arxiv.org/abs/2406.16845).
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Specifically, we have extended two public datasets for multi-grained medical image retrieval task:
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- MIMIC-IR is extended from [MIMIC-CXR](https://physionet.org/content/mimic-cxr/2.1.0/), containing 377,110 images and 90 anatomy structures.
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