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

Keywords

Computer scienceSegmentationArtificial intelligenceAnnotationVolume (thermodynamics)Set (abstract data type)Training setPattern recognition (psychology)Test dataComputer vision

Affiliated Institutions

University of Freiburg DE

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Publication Info

Year: 2016
Type: book-chapter
Pages: 424-432
Citations: 7182
Access: Closed

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APA Style

                            
                                    Özgün Çiçek, 
                                
                                    Ahmed Abdulkadir, 
                                
                                    Soeren S. Lienkamp
                                
                                et al.
                            
                            (2016). 
                            3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. 
                            Lecture notes in computer science
                            
                            , 424-432.
                            https://doi.org/10.1007/978-3-319-46723-8_49

Identifiers

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