Using nnU-Net V2 with a 15-fold ensemble, the authors report aggregated Dice scores of 0.81 (pre-RT) and 0.70 (mid-RT) for head and neck tumor segmentation on MRI.
In: 3D Head and Neck Tumor Segmentation in PET/CT Challenge, pp
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MRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble
Using nnU-Net V2 with a 15-fold ensemble, the authors report aggregated Dice scores of 0.81 (pre-RT) and 0.70 (mid-RT) for head and neck tumor segmentation on MRI.