Update README.md

README.md

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-license: cc-by-nc-nd-4.0
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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- image-segmentation
+tags:
+- dicom
+- medicine
+- healthcare
+- medical imaging
+- xray
+- health
+- computer vision
+- mammography
+size_categories:
+- 100K<n<1M
+---
+# X-ray of the mammary for computer vision tasks
+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.
+
+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=cpc&utm_campaign=cmammography-dataset)**
+
+It also includes diverse clinical data and patient information, allowing for in-depth studies on breast tumors and related diseases.
+# 💵 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=cpc&utm_campaign=mammography-dataset) to discuss your requirements and pricing options.
+
+
+# Example of the data
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F208d9cd195ea6350a00ce886362d745a%2Fexample%20of%20series2%20(1).PNG?generation=1742988836332292&alt=media)
+
+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).
+# 🌐 [UniData](https://unidata.pro/datasets/mammography-dataset/?utm_source=huggingface&utm_medium=cpc&utm_campaign=mammography-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects