Multiclass U-Net Segmentation of Brain Electron Microscopy Data Using Original and Semi-Synthetic Training Datasets
Author:
Publisher
Pleiades Publishing Ltd
Subject
Software
Link
https://link.springer.com/content/pdf/10.1134/S0361768822030057.pdf
Reference29 articles.
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4. Helmstaedter, M. and Mitra, P.P., Computational methods and challenges for large-scale circuit mapping, Current Opinion Neurobiol., 2012, vol. 22, no 1, pp. 162–169. http://www.sciencedirect.com/science/article/pii/ S0959438811002133.https://doi.org/10.1016/j.conb.2011.11.010
5. Arganda-Carreras I. et al., Crowdsourcing the creation of image segmentation algorithms for connectomics, Frontiers Neuroanatomy, 2015, vol. 9, pp. 1–13. https://www.frontiersin.org/article/10.3389/fnana. 2015.00142.https://doi.org/10.3389/fnana.2015.00142
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