Mitigating False Predictions in Anatomically Implausible Body Regions for 3D Medical Image Segmentation

The proposed method effectively mitigates false positive predictions in anatomically unreasonable body regions by incorporating a novel Region Loss function during training, leveraging a self-supervised Body Part Regression model to identify valid prediction areas.