In this paper, we integrated multi-scale input, multi-scale side output and attention mechanism into our method and present MDAN-UNet, an enhanced nested U-Net architecture for segmentation of OCT images. The main contributions can be listed as: We present an enhanced nested U-Net architecture...
Breadcrumbs nnUNet /nnunetv2 /inference / readme.mdTop File metadata and controls Preview Code Blame 205 lines (174 loc) · 10.3 KB Raw The nnU-Net inference is now much more dynamic than before, allowing you to more seamlessly integrate nnU-Net into your existing workflows....
changelog.md convert_msd_dataset.md dataset_format.md dataset_format_inference.md explanation_normalization.md explanation_plans_files.md extending_nnunet.md how_to_use_nnunet.md installation_instructions.md manual_data_splits.md pretraining_and_finetuning.md region_based_training.md run_inference_...
nnUNetv2_find_best_configuration(or its generatedinference_instructions.txtfile) will tell you where to find the postprocessing file. If not you can just look for it in your results folder (it's creatively namedpostprocessing.pkl). If your source folder is from an ensemble, ...
AutoPETII.md __init__.py benchmarking.md changelog.md convert_msd_dataset.md dataset_format.md dataset_format_inference.md explanation_normalization.md explanation_plans_files.md extending_nnunet.md how_to_use_nnunet.md installation_instructions.md ...