Analyze Publications Database

Normalization in Training U-Net for 2-D Biomedical Semantic Segmentation

Xiao-Yun Zhou et al. Normalization in Training U-Net for 2-D Biomedical Semantic Segmentation. IEEE Robotics and Automation Letters.

Publication Date
January 30, 2019

How Analyze was Used
“6082 images were collected in total. All images were labelled by one expert with Analyze (AnalyzeDirect, Inc, Overland Park, KS, USA) and were augmented by rotation from −30◦ to 30◦ with 10◦ as the interval.”

Keywords
Semantics, Image segmentation, Feature extraction, Training, 2D displays, Robots, 3D displays

Author Affiliation(s)
Imperial College London, London, UK