aicentreflip/tutorials-arkplus-cxr-classification

FLIP Ark+ tutorial chest X-ray classification splits

Synthetic chest X-ray DICOMs (768×768, 8-bit RGB) with Yes/No lesion labels, backing the Ark+ NVFLARE tutorials in FLIP (Federated Learning Interoperability Platform).

Folder	Role	DICOMs
site1/	Site-1 training split — arkplus_fine_tuning	1910
site2/	Site-2 training split — arkplus_fine_tuning	1872
site1_holdoff/	Site-1 hold-out split — evaluation tutorials	478
site2_holdoff/	Site-2 hold-out split — evaluation tutorials	468

Each folder contains:

• accession-resources/<accession_id>/<accession_id>.dcm — one DICOM per accession.
• sample_get_dataframe_response.csv — cohort dataframe: an accession_id column plus the lesion label columns (Effusion, Edema, Consolidation, Infiltration, Lung Nodule or Mass, Pneumothorax, Lungs in normal arrangement), valued Yes/No.

All images are fully synthetic (DeCaf balanced_synthetic_split) — no patient data.

Usage

The FLIP tutorials fetch these splits with huggingface_hub.snapshot_download and normalise them into a gitignored local layout. From the FLIP repo root:

make -C fl-tutorials download-arkplus-finetuning-data   # site1 + site2  → data/arkplus/site{1,2}/
make -C fl-tutorials download-arkplus-eval-data         # hold-out splits → data/arkplus/site{1,2}_holdoff/

Licensed Apache-2.0.