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A tutorial builds an end-to-end 3D medical image segmentation pipeline using MONAI on the Medical Segmentation Decathlon Task09 dataset. The pipeline applies volumetric CT transformations, trains a 3D UNet for binary spleen segmentation, and uses mixed precision training, DiceCE loss, and sliding-window inference.
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