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
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