RhoanaNet Pipeline: Dense Automatic Neural Annotation

21 Nov 2016Seymour Knowles-BarleyVerena KaynigThouis Ray JonesAlyssa WilsonJoshua MorganDongil LeeDaniel BergerNarayanan KasthuriJeff W. LichtmanHanspeter Pfister

Reconstructing a synaptic wiring diagram, or connectome, from electron microscopy (EM) images of brain tissue currently requires many hours of manual annotation or proofreading (Kasthuri and Lichtman, 2010; Lichtman and Sanes, 2008; Seung, 2009). The desire to reconstruct ever larger and more complex networks has pushed the collection of ever larger EM datasets... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet