Update README.md

README.md

@@ -1,3 +1,41 @@
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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-classification
+tags:
+- Medicine
+- Computer Vision
+- Machine Learning
+- Classification
+- Data Labeling
+- Brain MRI
+- DiCOM
+size_categories:
+- 1M<n<10M
+---
+# Brain MRI image dataset - 2,000,000+ Studies
+Dataset comprises **2,000,000+** medical studies featuring **brain MRI scans** paired with radiologists' reports, including detailed descriptions, conclusions, and recommendations. This large-scale dataset provides high-quality imaging data with **1 mm slice thickness** and **≤5 mm interslice gap**, averaging **~30 slices per scan**. Designed for **detection, classification, and segmentation tasks**, it covers **50+** pathologies, including **brain tumors, lesions, and structural abnormalities**. - **[Get the data](https://unidata.pro/datasets/brain-mri-image-dicom/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=Brain-MRI-Dataset)**
+## Dataset characteristics:
+| Characteristic               | Data                                                                 |
+|------------------------------|----------------------------------------------------------------------|
+| Description                  | MRI of the brain to recognize pathologies                           |
+| Data types                   | DICOM                                                               |
+| Annotation                   | Type of study, MRI machine (mostly Philips Intera 1.5T), Patient's demographic information (age, sex, race), Brief anamnesis of the disease (complaints), Description of the case, Preliminary diagnosis, Recommendations on further actions |
+| Tasks                        | Recognition, classification and segmentation of pathologies, computer vision |
+| Total number of files        | 2,000,000+                                                          |
+| Number of studies            | 50+                                                                 |
+| Labeling                     | Technical characteristics and metadata (body part, number of studies), markup, medical reports |
+### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/brain-mri-image-dicom/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=Brain-MRI-Dataset) to discuss purchase terms.
+## Dataset structure
+- ST000001 - folder of the data
+- Brain_MRI_conditions - metadata for the data
+- Brain_MRI_tumor - example of medical report
+
+### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/brain-mri-image-dicom/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=Brain-MRI-Dataset)
+
+## Similar Datasets:
+1. [Spine MRI Dataset](https://unidata.pro/datasets/spine-mri-image-dicom/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=Brain-MRI-Dataset)
+2. [Brain CT Segmentation Dataset](https://unidata.pro/datasets/brain-ct/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=Brain-MRI-Dataset)
+3. [Chest X-Ray Dataset](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=Brain-MRI-Dataset)
+
+## 🌐 [UniData](https://unidata.pro/datasets/brain-mri-image-dicom/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=Brain-MRI-Dataset) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.