Update README.md

README.md

@@ -1,5 +1,18 @@
 ---
 license: cc-by-nc-nd-4.0
+task_categories:
+- image-classification
+- image-segmentation
+- image-to-image
+- image-feature-extraction
+tags:
+- dicom
+- chest x-ray
+- medical
+- healthcare
+- medical imaging
+size_categories:
+- n<1K
 ---
 # 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)**
@@ -38,4 +51,4 @@ 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=cpc&utm_campaign=chest-x-rays) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects