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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-segmentation |
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- image-classification |
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tags: |
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- medical |
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- medicine |
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- Computer vision |
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- Machine Learning |
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- Segmentation |
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- Classification |
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size_categories: |
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- 1M<n<10M |
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--- |
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# X-ray dataset for computer vision tasks |
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Dataset comprises over **1,200,000** digital X-ray studies, including **200,000+** studies with protocol and **1,000,000+** studies without protocol, focusing on the chest, shoulder, elbow, and wrist joints. It encompasses **13** pathologies and is designed for research in **medical imaging** and **machine learning** applications. |
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By utilizing this dataset, the research community can enhance the understanding of **joint diseases** and improve patient outcomes. - **[Get the data](https://unidata.pro/datasets/x-ray-of-upper-extremity-joints/?utm_source=huggingface&utm_medium=referral&utm_campaign=x-ray-of-upper-extremity-joints)** |
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Researchers can utilize this dataset for various classification tasks, enhancing the understanding of bone fractures and related pathologies, which aids in developing more accurate diagnostic tools and treatment strategies for upper-extremity joint conditions. |
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# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/x-ray-of-upper-extremity-joints/?utm_source=huggingface&utm_medium=referral&utm_campaign=x-ray-of-upper-extremity-joints) to discuss your requirements and pricing options. |
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# Example of the data |
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.PNG?generation=1743115638980347&alt=media) |
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The dataset is suitable for testing and developing segmentation algorithms that can accurately identify and delineate joint structures. |
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# 🌐 [UniData](https://unidata.pro/datasets/x-ray-of-upper-extremity-joints/?utm_source=huggingface&utm_medium=referral&utm_campaign=x-ray-of-upper-extremity-joints) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |
