{
    "channel_names": {
        "0": "CT"
    },
    "labels": {
        "background": 0,
        "nodule": 1
    },
    "classification_labels": {
        "malignancy": {
            "0": "Benign",
            "1": "Malignant"
        }
    },
    "numTraining": 6141,
    "file_ending": ".nii.gz",
    "name": "Dataset009_LUNA25",
    "description": "LUNA25 — cropped low-dose chest CT patches for lung nodule segmentation and malignancy risk estimation (6141 nodule crops from lung cancer screening CTs)",
    "reference": "Peeters D, Obreja B, Antonissen N, Jacobs C. Benchmarking of Artificial Intelligence and Radiologists for Lung Cancer Screening in CT: The LUNA25 Challenge. Medical Image Computing and Computer Assisted Intervention 2025 (MICCAI). Zenodo. 2025. https://doi.org/10.5281/zenodo.15094631",
    "licence": "CC BY 4.0",
    "release": "1.0"
}