title: Carving: scalable interactive segmentation of neural volume electron microscopy images.
abstract: Interactive segmentation algorithms should respond within seconds and require minimal user guidance. This is a challenge on 3D neural electron microscopy images. We propose a supervoxel-based energy function with a novel background prior that achieves these goals. This is verified by extensive experiments with a robot mimicking human interactions. A graphical user interface offering access to an open source implementation of these algorithms is made available.
authors: University of Heidelberg, Heidelberg, Germany HCI, Speyerer Strasse 6, D-69115 Heidelberg.
authors: C N
authors: CN
authors: Straehle
authors: U
authors: U
authors: Köthe
authors: G
authors: G
authors: Knott
authors: F A
authors: FA
authors: Hamprecht
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003198:Computer Simulation; D004583:Electrons; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008854:Microscopy, Electron / Q000379:methods*; D015233:Models, Statistical; D012984:Software; D014584:User-Computer Interface