Crowdsourcing the creation of image segmentation algorithms for connectomics

Crowdsourcing the creation of image segmentation algorithms for connectomics

To stimulate progress in automating the reconstruction of neural circuits,we organized the first international challenge on 2D segmentationof electron microscopic (EM) images of the brain. Participants submittedboundary maps predicted for a test set of images, and were scoredbased on their agreement...

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Bibliographic Details
Main Authors: Ignacio eArganda-Carreras, Srinivas C Turaga, Daniel R Berger, Dan eCiresan, Alessandro eGiusti, Luca Maria Gambardella, Jürgen eSchmidhuber, Dmitry eLaptev, Sarvesh eDwivedi, Joachim M Buhmann, Ting eLiu, Mojtaba eSeyedhosseini, Tolga eTasdizen, Lee eKamentsky, Radim eBurget, Vaclav eUher, Xiao eTan, Cangming eSun, Tuan ePham, Erhan eBas, Mustafa Gokhan Uzunbas, Albert eCardona, Johannes eSchindelin, H. Sebastian eSeung
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-11-01
Series:Frontiers in Neuroanatomy
Subjects:
machine learning
reconstruction
connectomics
Electron microscopy
image segmentation
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnana.2015.00142/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnana.2015.00142/full

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