| { | |
| "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" | |
| } | |
| } | |
| } | |
| } | |
| } |