Add dataset metadata and paper/project links

README.md

@@ -1,3 +1,27 @@
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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+task_categories:
+- image-segmentation
+tags:
+- medical
+- mri
+- pancreas
+---
+
+# CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization
+
+[**Project Page**](https://crosspan.netlify.app/) | [**Paper**](https://huggingface.co/papers/2604.18797) | [**GitHub**](https://github.com/NUBagciLab/nnUNetDG)
+
+CrossPan is a multi-institutional benchmark for cross-sequence pancreas MRI segmentation and generalization. It is designed to investigate the challenges of domain shifts across different MRI sequences, which is a critical barrier to clinically deployable AI models in abdominal imaging.
+
+## Dataset Summary
+
+The benchmark comprises **1,386 3D scans** collected from **eight centers**. It specifically focuses on three routinely acquired MRI sequences:
+- **T1-weighted**
+- **T2-weighted**
+- **Out-of-Phase (OP)**
+
+The dataset reveals that cross-sequence domain shifts (physics-driven contrast inversions) are significantly more severe than cross-center variability, providing a robust testbed for evaluating domain generalization (DG) and foundation models like MedSAM2 in the context of medical imaging.
+
+## Task
+The primary task associated with this dataset is **image segmentation**, specifically the automatic 3D segmentation of the pancreas in abdominal MRI scans.