Auto-nnU-Net, an AutoML extension of nnU-Net, reports the highest mean test Dice score on the Medical Segmentation Decathlon while optimizing both accuracy and training runtime.
The video segmentation capabilities of SAM2 enable MedSAM2 to represent 3D volumes as a sequence of 2D frames and produce improved 3D medical image segmentations compared to MedSAM
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Auto-nnU-Net: Towards Automated Medical Image Segmentation
Auto-nnU-Net, an AutoML extension of nnU-Net, reports the highest mean test Dice score on the Medical Segmentation Decathlon while optimizing both accuracy and training runtime.