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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

20167,471 citationsBook Chapter

Authors

Özgün Çiçek · University of Freiburg

Ahmed Abdulkadir · University of Freiburg

Soeren S. Lienkamp · University Medical Center Freiburg

Thomas Brox · University of Freiburg

Olaf Ronneberger · Google (United Kingdom)

Topics & Keywords

Advanced Neural Network Applications Medical Image Segmentation Techniques 3D Shape Modeling and Analysis

UN Sustainable Development Goals

Industry, innovation and infrastructure

Publication Details

Published in: Lecture notes in computer science

DOI: 10.1007/978-3-319-46723-8_49

Field-Weighted Citation Impact: 107.86

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation | Researchclopedia