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+# PANTHER Challenge: Public Training Dataset
+
+## Reference
+Please cite the following article, if you are using the PANTHER Challenge: Public Training Dataset:
+	
+	Betancourt Tarifa, A. S., Mahmood, F., Bernchou, U., & Koopmans, P. J. (2025). PANTHER Challenge: Public Training Dataset (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15192302
+
+
+## License
+[CC-BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+
+
+## Dataset Characteristics
+The PANTHER Challenge dataset has been created to support the development of automated pancreatic tumor segmentation models and is divided into two distinct tasks. Task 1 includes diagnostic MR images acquired for tumor segmentation in the diagnostic setting. In these images, filenames that contain _0001 indicate the arterial phase scans, which are the only ones with available ground truth labels; images with different suffix numbers correspond to other sequences. Task 2 is based on MR-Linac images acquired for radiotherapy treatment planning.
+
+## Folder Structure
+The dataset is provided as two separate zip files:
+* PANTHER_Task1.zip
+```
+ImagesTr
+├── 10000_00001_0000.mha (T1W CE arterial phase MRIs)
+├── ...
+LabelsTr
+├── 10000_00001.mha (segmentation labels for arterial phase MRIs)
+├── ...
+ImagesTr_unlabeled
+├── 10000_00002_0000.mha (additional training images from other sequences without labels)
+├── ...
+```
+* PANTHER_Task2.zip
+```
+ImagesTr
+|── 10303_0000.mha (T2W MR-Linac MRI)
+|── ...
+LabelsTr
+|── 10303.mha (segmentation labels for T2W MRIs)
+|── ...
+```
+
+
+## Managed By
+Diagnostic Image Analysis Group,
+Radboud University Medical Center,
+Nijmegen, The Netherlands
+
+## Contact Information
+- Amparo Betancourt : amparosoeli.betancourttarifa@radboudumc.nl
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