Graph-based Active Learning of Agglomeration (GALA): a Python library to segment 2D and 3D neuroimages

Graph-based Active Learning of Agglomeration (GALA): a Python library to segment 2D and 3D neuroimages

The aim in high-resolution connectomics is to reconstruct complete neuronal connectivity in a tissue. Currently, the only technology capable of resolving the smallest neuronal processes is electron microscopy (EM). Thus, a common approach is to perform automatic segmentation of EM images, followed b...

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Bibliographic Details
Main Authors: Juan eNunez-Iglesias, Ryan eKennedy, Stephen M Plaza, Anirban eChakraborty, William T Katz
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-04-01
Series:Frontiers in Neuroinformatics
Subjects:
machine learning
Electron microscopy
image segmentation
python
software engineering
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00034/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00034/full

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