Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation - Kwon, Yongchan; Won, Joong-Ho; Kim, Beom Joon; Paik, Myunghee Cho (Computational statistics & data analysis, 2020)
Keywords: Aleatoric and epistemic uncertainty; algorithms; Bayesian neural network; Bayesian theory; computer vision; data collection; Ischemic stroke lesion segmentation; neural networks; prediction; Retinal blood vessel segmentation; stroke; uncertainty; Uncertainty quantification; Uncertainty quantification; Retinal blood vessel segmentation; Ischemic stroke lesion segmentation; Bayesian neural network; Aleatoric and epistemic uncertainty