Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.101980
Abstract: Fully annotated data sets play important roles in medical image segmentation and evaluation. Expense and imprecision are the two main issues in generating ground truth (GT) segmentations. In this paper, in an attempt to overcome… read more here.
Keywords: ground truth; segmentation evaluation; evaluation; workload ... See more keywords