Update README.md

README.md

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 Dataset comprises over **3,000** studies featuring detailed mammogram x-ray that capture **14** distinct pathologies. This extensive dataset is formatted in **DICOM**, ensuring compatibility with a wide range of **medical imaging software**.
 
-By utilizing this dataset, researchers can explore advanced **segmentation techniques** and evaluate the **classification performance** of their models. -  **[Get the data](https://unidata.pro/datasets/mammography-segmentation/?utm_source=huggingface&utm_medium=cpc&utm_campaign=mammography-segmentation)**
+By utilizing this dataset, researchers can explore advanced **segmentation techniques** and evaluate the **classification performance** of their models. -  **[Get the data](https://unidata.pro/datasets/mammography-segmentation/?utm_source=huggingface&utm_medium=referral&utm_campaign=mammography-segmentation)**
 
 # Example of the data
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F12611a74e8cf66fd9ff06491b7448644%2FFrame%20171.png?generation=1732669004646494&alt=media)
@@ -37,7 +37,7 @@ The dataset features annotations and segmentation results, with lung segmentatio
 10. points(exterior, interior)
 
 Each study includes meticulously crafted segmentation masks that delineate various breast lesions, including breast masses, tumors, and microcalcifications.
-# 💵 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-segmentation/?utm_source=huggingface&utm_medium=cpc&utm_campaign=mammography-segmentation) to discuss your requirements and pricing options.
+# 💵 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-segmentation/?utm_source=huggingface&utm_medium=referral&utm_campaign=mammography-segmentation) to discuss your requirements and pricing options.
 
 # About data
 **Example of pathologies:**
@@ -51,4 +51,4 @@ Each study includes meticulously crafted segmentation masks that delineate vario
 
 The dataset is instrumental in enhancing the segmentation performance of algorithms, thereby contributing to more accurate cancer detection and improved screening mammography practices.
 
-# 🌐 [UniData](https://unidata.pro/datasets/mammography-segmentation/?utm_source=huggingface&utm_medium=cpc&utm_campaign=mammography-segmentation) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects 
+# 🌐 [UniData](https://unidata.pro/datasets/mammography-segmentation/?utm_source=huggingface&utm_medium=referral&utm_campaign=mammography-segmentation) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects