Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.
Le ZhangRyutaro TannoMou-Cheng XuChen JinJoseph JacobOlga CiccarelliFrederik BarkhofDaniel C. AlexanderPublished in: CoRR (2020)
Keyphrases
- segmentation of medical images
- ground truth
- human subjects
- medical images
- volumetric data
- ground truth data
- error rate
- pattern recognition
- test images
- neural network
- quantitative evaluation
- gold standard
- human activities
- relative error
- error analysis
- human users
- error bounds
- mutual information
- image analysis
- multiscale
- high quality
- computer vision