Upload brats_mri_axial_slices_generative_diffusion version 1.1.4
Browse files- configs/metadata.json +5 -4
configs/metadata.json
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@@ -1,7 +1,8 @@
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{
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"schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
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"version": "1.1.
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"changelog": {
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"1.1.3": "update to huggingface hosting and fix missing dependencies",
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"1.1.2": "update issue for IgniteInfo",
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"1.1.1": "enable tensorrt",
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"pytorch-ignite": "0.4.11"
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},
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"supported_apps": {},
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"name": "BraTS MRI
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"task": "
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"description": "
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"authors": "MONAI team",
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"copyright": "Copyright (c) MONAI Consortium",
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"data_source": "http://medicaldecathlon.com/",
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{
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"schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
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"version": "1.1.4",
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"changelog": {
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"1.1.4": "enhance metadata with improved descriptions and task specification",
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"1.1.3": "update to huggingface hosting and fix missing dependencies",
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"1.1.2": "update issue for IgniteInfo",
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"1.1.1": "enable tensorrt",
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"pytorch-ignite": "0.4.11"
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},
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"supported_apps": {},
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"name": "BraTS MRI Axial Slices Latent Diffusion Generation",
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"task": "Conditional Synthesis of Brain MRI Axial Slices",
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"description": "Latent diffusion model that synthesizes 2D brain MRI axial slices (240x240 pixels) from Gaussian noise, trained on the BraTS dataset. The model processes 1-channel latent space features (64x64) and generates FLAIR sequences with 1mm in-plane resolution, capturing diverse tumor and brain tissue appearances.",
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"authors": "MONAI team",
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"copyright": "Copyright (c) MONAI Consortium",
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"data_source": "http://medicaldecathlon.com/",
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