Javier Pérez de Frutos
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Update README.md
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README.md
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2. Install requirements:
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```
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pip install
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```
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## 🏋️♂️ Training
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Use the "MultiTrain" scripts to launch the trainings, providing the neccesary parameters. Those in the COMET folder accepts a .ini configuration file (see COMET/train_config_files for example configurations).
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2. Install requirements:
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```
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pip install /path/to/clone/.
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```
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## 🤖 How to use
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Use the following CLI command to register images
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```
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ddmr --fixed path/to/fixed_image.nii.gz --moving path/to/moving_image.nii.gz --outputdir path/to/output/dir -a <anatomy> --model <model> --gpu <gpu-number> --original-resolution
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```
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where:
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* anatomy: is the type of anatomy you want to register: B (brain) or L (liver)
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* model: is the model you want to use:
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+ BL-N (baseline with NCC)
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+ BL-NS (baseline with NCC and SSIM)
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+ SG-ND (segmentation guided with NCC and DSC)
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+ SG-NSD (segmentation guided with NCC, SSIM, and DSC)
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+ UW-NSD (uncertainty weighted with NCC, SSIM, and DSC)
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+ UW-NSDH (uncertainty weighted with NCC, SSIM, DSC, and HD).
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* gpu: is the GPU number you want to the model to run on, if you have multiple and want to use only one GPU
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* original-resolution: (flag) whether to upsample the registered image to the fixed image resolution (disabled if the flag is not present)
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Use ```ddmr --help``` to see additional options like using precomputed segmentations to crop the images to the desired ROI, or debugging.
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## 🏋️♂️ Training
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Use the "MultiTrain" scripts to launch the trainings, providing the neccesary parameters. Those in the COMET folder accepts a .ini configuration file (see COMET/train_config_files for example configurations).
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