activity
20172026
most citedUSE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

32 citations · 70 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.CV2023★ 12 cited

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT

Sophie Ostmeier, Brian Axelrod, Benjamin Pulli +6

Purpose: Multi-expert deep learning training methods to automatically quantify ischemic brain tissue on Non-Contrast CT Materials and Methods: The data set consisted of 260 Non-Con…