update required packages
Browse files- README.md +0 -3
- configs/metadata.json +5 -3
- docs/README.md +0 -3
README.md
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**This is a demonstration network meant to just show the training process for this sort of network with MONAI. To achieve better performance, users need to use larger dataset like [Brats 2021](https://www.synapse.org/#!Synapse:syn25829067/wiki/610865) and have GPU with memory larger than 32G to enable larger networks and attention layers.**
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## MONAI Generative Model Dependencies
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This bundle requires to install [MONAI generative models](https://github.com/Project-MONAI/GenerativeModels).
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## Data
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The training data is BraTS 2016 and 2017 from the Medical Segmentation Decathalon. Users can find more details on the dataset (`Task01_BrainTumour`) at http://medicaldecathlon.com/.
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**This is a demonstration network meant to just show the training process for this sort of network with MONAI. To achieve better performance, users need to use larger dataset like [Brats 2021](https://www.synapse.org/#!Synapse:syn25829067/wiki/610865) and have GPU with memory larger than 32G to enable larger networks and attention layers.**
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## Data
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The training data is BraTS 2016 and 2017 from the Medical Segmentation Decathalon. Users can find more details on the dataset (`Task01_BrainTumour`) at http://medicaldecathlon.com/.
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configs/metadata.json
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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_generator_ldm_20230507.json",
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"version": "1.0.
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"changelog": {
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"1.0.2": "unify dataset dir in different configs",
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"1.0.1": "update dependency, update trained model weights",
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"1.0.0": "Initial release"
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},
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"monai_version": "1.2.
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"pytorch_version": "1.13.1",
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"numpy_version": "1.22.2",
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"optional_packages_version": {
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"nibabel": "5.1.0",
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"lpips": "0.1.4"
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},
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"name": "BraTS MRI image latent diffusion generation",
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"task": "BraTS MRI image synthesis",
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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_generator_ldm_20230507.json",
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"version": "1.0.3",
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"changelog": {
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"1.0.3": "update required packages",
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"1.0.2": "unify dataset dir in different configs",
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"1.0.1": "update dependency, update trained model weights",
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"1.0.0": "Initial release"
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},
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"monai_version": "1.2.0rc7",
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"pytorch_version": "1.13.1",
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"numpy_version": "1.22.2",
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"optional_packages_version": {
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"nibabel": "5.1.0",
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"lpips": "0.1.4",
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"monai-generative": "0.2.2"
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},
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"name": "BraTS MRI image latent diffusion generation",
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"task": "BraTS MRI image synthesis",
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docs/README.md
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**This is a demonstration network meant to just show the training process for this sort of network with MONAI. To achieve better performance, users need to use larger dataset like [Brats 2021](https://www.synapse.org/#!Synapse:syn25829067/wiki/610865) and have GPU with memory larger than 32G to enable larger networks and attention layers.**
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## MONAI Generative Model Dependencies
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This bundle requires to install [MONAI generative models](https://github.com/Project-MONAI/GenerativeModels).
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-
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## Data
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The training data is BraTS 2016 and 2017 from the Medical Segmentation Decathalon. Users can find more details on the dataset (`Task01_BrainTumour`) at http://medicaldecathlon.com/.
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**This is a demonstration network meant to just show the training process for this sort of network with MONAI. To achieve better performance, users need to use larger dataset like [Brats 2021](https://www.synapse.org/#!Synapse:syn25829067/wiki/610865) and have GPU with memory larger than 32G to enable larger networks and attention layers.**
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## Data
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The training data is BraTS 2016 and 2017 from the Medical Segmentation Decathalon. Users can find more details on the dataset (`Task01_BrainTumour`) at http://medicaldecathlon.com/.
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