Tonggang Zhao

Rethinking Model Calibration through Spectral Entropy Regularization in Medical Image Segmentation

Deep neural networks for medical image segmentation often produce overconfident predictions, posing clinical risks due to miscalibrated uncertainty estimates. In this work, we rethink model calibration from a frequency-domain perspective and identify two critical factors causing miscalibration: spec…