3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries

Author:

Andres Bjoern,Koethe Ullrich,Kroeger Thorben,Helmstaedter Moritz,Briggman Kevin L.,Denk Winfried,Hamprecht Fred A.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference62 articles.

1. Alpert, S., Galun, M., Basri, R., Brandt, A., 2007. Image segmentation by probabilistic bottom-up aggregation and cue integration. In: CVPR.

2. Detecting faint curved edges in noisy images;Alpert,2010

3. Segmentation of SBFSEM volume data of neural tissue by hierarchical classification;Andres,2008

4. Andres, B., Kappes, J.H., Koethe, U., Hamprecht, F.A., 2010a. The Lazy Flipper: MAP inference in higher-order graphical models by depth-limited exhaustive search. ArXiv e-prints. http://arxiv.org/abs/1009.4102.

5. Andres, B., Koethe, U., Kroeger, T., Hamprecht, F.A., 2010b. How to extract the geometry and topology from very large 3D segmentations. ArXiv e-prints. http://arxiv.org/abs/1009.6215.

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