---
license: cc-by-nc-4.0
task_categories:
- image-segmentation
tags:
- medical-imaging
- ct
- pancreas
- pancreatic-cancer
- pdac
pretty_name: PANORAMA (Pancreatic Cancer Diagnosis - Radiologists Meet AI)
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: study_id
    dtype: string
  - name: patient_id
    dtype: string
  - name: annotation_tier
    dtype: string
  - name: label
    dtype: string
  - name: level
    dtype: string
  - name: external_source
    dtype: string
  - name: num_slices
    dtype: int32
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: overlay
    dtype: image
  splits:
  - name: train
    num_bytes: 614182147
    num_examples: 2238
  download_size: 611706093
  dataset_size: 614182147
---

# PANORAMA - Public Training & Development Dataset

Contrast-enhanced (portal-venous) abdominal **CT** for **pancreatic ductal
adenocarcinoma (PDAC) detection**, from the PANORAMA challenge organised by the
Diagnostic Image Analysis Group (DIAG), Radboud UMC. This is the largest public
PDAC CT dataset and the first public PDAC detection challenge.

> Mirror of the official **public training/development cohort only**. The hidden
> validation and test sets used for the challenge leaderboard are **not** part of
> this release.

## Contents (2238 cases)

| Source (`level`) | Cases |
|---|---|
| Dutch centres (Radboud UMC + UMC Groningen) | 1964 |
| MSD Task07 Pancreas (`level=MSD_dataset`) | 194 |
| NIH Clinical Center Pancreas-CT (`level=NIH_dataset`) | 80 |
| **Total** | **2238** (676 PDAC / 1562 non-PDAC) |

```
images/                      2238 CT volumes,  {pid}_{sid}_0000.nii.gz
labels/manual/               482 expert-delineated masks (gold lesion tier)
labels/automatic/            1756 fully-automatic masks
clinical_information.csv      per-case metadata (+ .xlsx original)
data/                         preview parquet for the Dataset Viewer
```

## Ground-truth annotation tiers

6-class voxel masks: `0` background, `1` **PDAC lesion**, `2` veins, `3` arteries,
`4` pancreas parenchyma, `5` pancreatic duct, `6` common bile duct.

* **`labels/manual/` (482 cases) - GOLD STANDARD lesion reference.** PDAC lesions
  manually delineated in ITK-SNAP by trained investigators under an expert
  radiologist (20+ yrs pancreatic-cancer experience). Use these for lesion
  benchmarking (`lesion_gt_gold = True` / `annotation_tier = manual`).
* **`labels/automatic/` (1756 cases) - weak/auto.** Lesion (where present) and
  **all** anatomy classes (2-6, every case) were generated automatically by the
  Alves et al. (2021) algorithm. Treat as weak supervision.

## Cross-dataset overlap (evaluation hazard)

This cohort **embeds** 194 cases from **MSD Task07 Pancreas** and 80 from the
**NIH Pancreas-CT** collection. If you benchmark against `Angelou0516/msd-pancreas`
or `Angelou0516/pancreas-ct`, **exclude** these via the `level` column
(`MSD_dataset` / `NIH_dataset`) or the derived `external_source` column to avoid
leakage. (No per-case ID map back to the original collections is published.)

## License & citation

**CC BY-NC 4.0 (non-commercial).** Source: official DIAG/Radboud Zenodo records
(imaging) + `github.com/DIAGNijmegen/panorama_labels` (annotations).

> Alves, N., Schuurmans, M., Rutkowski, D., Yakar, D., Haldorsen, I., Liedenbaum,
> M., Molven, A., Vendittelli, P., Litjens, G., Hermans, J., & Huisman, H. (2024).
> *The PANORAMA Study Protocol: Pancreatic Cancer Diagnosis - Radiologists Meet
> AI.* Zenodo. https://doi.org/10.5281/zenodo.10599559