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CT-RATE consists of 10,000 to 100,000 3D chest CT scans paired with corresponding radiology reports, released by Ibrahim Hamamci in 2024. This multimodal dataset facilitates the development of 3D medical foundation models through vision-language alignment. It supports diverse tasks including visual question answering, image-to-text generation, and zero-shot classification.
The dataset is licensed under CC BY-NC-SA 4.0, which prohibits commercial use and requires derivative works to be shared under the same license. Users should refer to Arxiv 2403.17834 for detailed methodology and processing steps for the 3D volumetric data.