Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation
arXiv·medium signal
Shows that MC-Dropout confidence estimates do not reliably flag silent failures in glioma segmentation on multiparametric MRI, where a model failing quietly is dangerous for treatment planning. The broader caution—calibrated confidence ≠ reliability—generalizes to any high-stakes uncertainty-quantification deployment. By Xin Ci Wong, Duygu Sarikaya, Kieran Zucker et al. (cs.CV/cs.LG).