3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation is one of 9,000 studies in the ScholarPulse dataset. Key details — Authors: Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger; Journal / source: Lecture notes in computer science; Year: 2016.
| Authors | Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger |
|---|---|
| Journal / source | Lecture notes in computer science |
| Year | 2016 |
| Field | Advanced Neural Network Applications |
| Times cited | 7647 |
| Type | book-chapter |
| DOI / link | https://doi.org/10.1007/978-3-319-46723-8_49 |