✨Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
📝 Summary:
Medical imaging datasets are fragmented and small, limiting foundation model development. This survey of 1000+ open-access datasets proposes a metadata-driven fusion paradigm to integrate them, creating larger resources. This scales medical imaging data for more capable foundation models.
🔹 Publication Date: Published on Mar 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27460
• PDF: https://arxiv.org/pdf/2603.27460
• Project Page: https://huggingface.co/datasets/General-Medical-AI/Project-Imaging-X
• Github: https://github.com/uni-medical/Project-Imaging-X
✨ Datasets citing this paper:
• https://huggingface.co/datasets/General-Medical-AI/Project-Imaging-X
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#MedicalImaging #FoundationModels #AI #DataScience #OpenData
📝 Summary:
Medical imaging datasets are fragmented and small, limiting foundation model development. This survey of 1000+ open-access datasets proposes a metadata-driven fusion paradigm to integrate them, creating larger resources. This scales medical imaging data for more capable foundation models.
🔹 Publication Date: Published on Mar 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27460
• PDF: https://arxiv.org/pdf/2603.27460
• Project Page: https://huggingface.co/datasets/General-Medical-AI/Project-Imaging-X
• Github: https://github.com/uni-medical/Project-Imaging-X
✨ Datasets citing this paper:
• https://huggingface.co/datasets/General-Medical-AI/Project-Imaging-X
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#MedicalImaging #FoundationModels #AI #DataScience #OpenData
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