Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow
Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow
Semantic segmentation neural networks require pixel-level annotations in large quantities to achieve a good performance. In the medical domain, such annotations are expensive because they are time-consuming and require expert knowledge. Active learning optimizes the annotation effort by devising strategies to select cases for labeling that are the most informative …