{
    "channel_names": {
        "0": "t1c",
        "1": "t1n",
        "2": "t2f",
        "3": "t2w"
    },
    "labels": {
        "background": 0,
        "NCR": 1,
        "ED": 2,
        "ET": 3,
        "NET_RC": 4
    },
    "classification_labels": {
        "primary_diagnosis": {
            "0": "GBM",
            "1": "Astrocytoma",
            "2": "Others"
        }
    },
    "numTraining": 591,
    "file_ending": ".nii.gz",
    "overwrite_image_reader_writer": "SimpleITKIO",
    "license": "CC-BY-NC 4.0",
    "description": "MU-Glioma-Post — post-treatment glioma multi-sequence MRI (t1c, t1n, t2f, t2w) with tumor segmentation and primary diagnosis classification (591 timepoints from 203 patients)",
    "reference": "Mahmoud E, Gass J, Dhemesh Y, Greaser J, Pogorzelski K, Isufi E, Garrett F, Thacker J, Tahon NH, Sinclair J, Layfield L. MU-Glioma Post: A comprehensive dataset of automated MR multi-sequence segmentation and clinical features. Scientific data. 2025 Nov 20;12(1):1847.",
    "name": "Dataset005_MU_Glioma_Post",
    "release": "1.0"
}