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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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tags: |
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- dicom |
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- medicine |
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- healthcare |
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- medical imaging |
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- xray |
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- health |
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- computer vision |
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- mammography |
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size_categories: |
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- 100K<n<1M |
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--- |
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# X-ray of the mammary for computer vision tasks |
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Dataset comprises over 600,000 studies, including 100,000+ studies with protocols developed by medical professionals and 500,000+ studies without protocols. It is designed for research in breast imaging, focusing on various cancer detection methods, primarily aimed at improving diagnosis and early detection of breast cancers. |
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By utilizing this dataset, researchers and developers can advance their understanding and capabilities in mammographic interpretation, image analysis, and machine learning techniques. - **[Get the data](https://unidata.pro/datasets/mammography-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=cmammography-dataset)** |
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It also includes diverse clinical data and patient information, allowing for in-depth studies on breast tumors and related diseases. |
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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/mammography-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=mammography-dataset) to discuss your requirements and pricing options. |
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# Example of the data |
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.PNG?generation=1742988836332292&alt=media) |
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The studies directory contains studyUID-X directories, each of which contains studies in DICOM format.It includes a CSV file with information about each study, including the target pathology indicating pathology presence (1) or absence (0). |
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# 🌐 [UniData](https://unidata.pro/datasets/mammography-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=mammography-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |
