nnU-Net auto-segmentation plus human correction reduces colon MRI volume analysis time by over 80% with ICC 0.96 agreement to manual methods and better inter-observer repeatability.
Deep learning application for abdominal organs segmentation on 0.35 T MR-Linac images
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Accelerating MRI Colon Volume Measurements and Reducing Inter-Observer Variation through Automatic Segmentation and Human-in-the-Loop Correction
nnU-Net auto-segmentation plus human correction reduces colon MRI volume analysis time by over 80% with ICC 0.96 agreement to manual methods and better inter-observer repeatability.