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USE-Evaluator: Performance Metrics for Medical Image Segmentation Models
  with Uncertain, Small or Empty Reference Annotations

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

26 September 2022
Sophie Ostmeier
Brian Axelrod
J. Bertels
Fabian Isensee
Maarten G.Lansberg
Soren Christensen
G. Albers
Li-Jia Li
J. Heit
ArXivPDFHTML

Papers citing "USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations"

3 / 3 papers shown
Title
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic
  Stroke on Non-contrast CT
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT
Sophie Ostmeier
Brian Axelrod
Benjamin Pulli
Benjamin F. J. Verhaaren
Abdelkader Mahammedi
Yongkai Liu
C. Federau
Greg Zaharchuk
J. Heit
22
2
0
07 Sep 2023
Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on
  Non-Contrast CT Compared to Expert Neuroradiologists
Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists
Sophie Ostmeier
Brian Axelrod
Benjamin F. J. Verhaaren
Soren Christensen
Abdelkader Mahammedi
Yongkai Liu
Benjamin Pulli
Li-Jia Li
Greg Zaharchuk
J. Heit
13
4
0
24 Nov 2022
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
Vera de Vos
K. Timmins
Irene van der Schaaf
Y. Ruigrok
B. Velthuis
Hugo J. Kuijf
38
21
0
22 Jan 2021
1