Update README.md

README.md

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 # Chest X-rays, DICOM Data and Segmentation
-This dataset consists of **150** medical studies with chest X-ray (CXR) images primarily focused on the detection of lung diseases, including COVID-19 cases and pneumonias. The collection includes frontal chest radiographs and chest radiography scans in **DICOM** format. The dataset is ideal for medical research, disease detection, and classification tasks, particularly for developing computer-aided diagnosis and machine learning models - **[Get the data](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-x-rays)**
+This dataset consists of **150** medical studies with chest X-ray (CXR) images primarily focused on the detection of lung diseases, including COVID-19 cases and pneumonias. The collection includes frontal chest radiographs and chest radiography scans in **DICOM** format. The dataset is ideal for medical research, disease detection, and classification tasks, particularly for developing computer-aided diagnosis and machine learning models - **[Get the data](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface&utm_medium=referral&utm_campaign=chest-x-rays)**
 
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fad48f44bb86390ce88ec0b121a0b5845%2FFrame%20130.png?generation=1726474854075866&alt=media)
 
@@ -37,7 +37,7 @@ The dataset features annotations and segmentation results, with lung segmentatio
 12. Pneumothorax
 13. Atelectasis
 
-# 💵 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/chest-x-ray-image-dicom/?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-x-rays) 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/chest-x-ray-image-dicom/?utm_source=huggingface&utm_medium=referral&utm_campaign=chest-x-rays) to discuss your requirements and pricing options.
 
 ## Metadata for the dataset
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Feb3a76060fd40109ede6cb2e4e45c8e6%2FFrame%20131.png?generation=1726498717703540&alt=media)
@@ -52,4 +52,4 @@ The dataset includes:
 
 The dataset is compiled represents some of the newest and high-quality chest radiographs available, ensuring that the imaging data is both original and highly useful for radiologists and medical researchers alike.
 
-# 🌐 [UniData](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-x-rays) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
+# 🌐 [UniData](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface&utm_medium=referral&utm_campaign=chest-x-rays) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects