Convolutional networks can learn to generate affinity graphs for image 
segmentation

Turaga, S. C.; Murray, J. F.; Jain, V.; Roth, F.; Helmstaedter, Moritz; Briggman, K.; Denk, W.; Seung, H. S.

doi:10.1162/neco.2009.10-08-881

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Convolutional networks can learn to generate affinity graphs for image segmentation

MPS-Authors

/persons/resource/persons39222

Helmstaedter, Moritz
Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society;

External Resource

http://www.ncbi.nlm.nih.gov/pubmed/19922289
(Any fulltext)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Turaga, S. C., Murray, J. F., Jain, V., Roth, F., Helmstaedter, M., Briggman, K., et al. (2010). Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Comput, 22(2), 511-38. doi:10.1162/neco.2009.10-08-881.

Cite as: https://hdl.handle.net/21.11116/0000-0008-17BB-C

Abstract

There is no abstract available