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Thank you very much for the repository and the provided pretrained models. I have seen that you added some scripts for nnUNet v2 to run fine-tuning as well as the STUNetTrainer.
I have a dataset with CT and PET modalities and I was wondering if it is possible to use nnUNet v2 to run fine-tuning using a pretrained model that you provide (e.g. huge_ep4k.model) to do this combining both modalities (concatenating them as input as you showed for the AutoPET challenge).
Best regards,
Sergio
The text was updated successfully, but these errors were encountered:
Fine-tuning on multi-modal datasets like AutoPET (CT and PET concatenated) is supported. We copy the first convolutional layers (pretrained on a single CT modality) from the pretrained model to support multi-modal inputs.
Hello,
Thank you very much for the repository and the provided pretrained models. I have seen that you added some scripts for nnUNet v2 to run fine-tuning as well as the STUNetTrainer.
I have a dataset with CT and PET modalities and I was wondering if it is possible to use nnUNet v2 to run fine-tuning using a pretrained model that you provide (e.g. huge_ep4k.model) to do this combining both modalities (concatenating them as input as you showed for the AutoPET challenge).
Best regards,
Sergio
The text was updated successfully, but these errors were encountered: