Mitigating False Predictions In Unreasonable Body Regions
Mitigating False Predictions In Unreasonable Body Regions
Despite considerable strides in developing deep learning models for 3D medical image segmentation, the challenge of effectively generalizing across diverse image distributions persists. While domain generalization is acknowledged as vital for robust application in clinical settings, the challenges stemming from training with a limited Field of View (FOV) remain unaddressed. …