{
    "version": "0.1.0",
    "changelog": {
        "0.1.0": "Initial release"
    },
    "monai_version": "1.5",
    "pytorch_version": "2.6.0",
    "numpy_version": "1.26.4",
    "required_packages_version": {
        "torchvision": "0.21.0",
        "openslide-bin": "4.0.0.6",
        "openslide-python": "1.4.1",
        "pandas": "2.2.3",
        "torchstain": "1.4.1",
        "opencv-python-headless": "4.11.0.86",
        "einops": "0.8.1"
    },
    "name": "MSI predictor from WSI using EXAONEPath v1.0",
    "task": "MSI Classification of Colorectal Cancer (CRC) Tumors",
    "description": "MSI classification of CRC tumors using EXAONEPath 1.0.0 - a patch-level foundation model for pathology",
    "authors": "LG AI Research",
    "copyright": "Copyright (c) LG AI Research",
    "data_source": "Whole Slide Images",
    "data_type": "float32",
    "intended_use": "Research only",
    "network_data_format": {
        "inputs": {
            "image": {
                "type": "image",
                "format": "svs",
                "modality": "pathology"
            }
        },
        "outputs": {
            "pred": {
                "type": "probabilities",
                "format": "classes",
                "num_channels": 2,
                "spatial_shape": [2],
                "dtype": "float32",
                "value_range": [0, 1],
                "is_patch_data": false,
                "channel_def": {
                    "0": "MSS",
                    "1": "MSI"
                }
            }
        }
    }
}