most citedInter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.IV2023★ 1 cited

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks

Qingqiao Hu, Hao Wang, Jing Luo +7

Automated medical image segmentation inherently involves a certain degree of uncertainty. One key factor contributing to this uncertainty is the ambiguity that can arise in determi…

math.ST2007

A Method for Avoiding Bias from Feature Selection with Application to Naive Bayes Classification Models

Longhai Li, Jianguo Zhang, Radford M. Neal

For many classification and regression problems, a large number of features are available for possible use - this is typical of DNA microarray data on gene expression, for example.…