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gala

Graph-based Active Learning of Agglomeration (GALA) is a hierarchical segmentation algorithm developed by Nunez-Iglesias et al (PLoS One, 2013) and implemented in a Python library (https://github.com/janelia-flyem/gala) (Frontiers Neuroinf, 2014). Direct questions about the algorithm, the papers, or the library to this mailing list!

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Topics (17)
Replies Last Post Views
Using additional features by Torsten
1
by jni
question regarding learning across "discontinuous blocks" by Paul Watkins
4
by Paul Watkins
ANN: Gala 0.3.2 released by jni
0
by jni
issue with _learn_agglomerate? by Paul Watkins
1
by jni
ANN: Release 0.3 of gala! by jni
0
by jni
Training gala on multiple datasets by jni
8
by jni
GALA Usage for 2D Images by Sean
12
by jni
a few questions / comments on gala by Paul Watkins
4
by jni
Gala 0.2.2 is out by jni
2
by jni
ANN: gala 0.2 released! by jni
2
by jni
Re: Python 3 support by jni
2
by jni
Python 3 support by jni
0
by jni
ISBI Gala settings by Will Gray Roncal
14
by jni
Sample weights by jni
1
by cmor
Pull requests from senior thesis by NealJMD
8
by jni
Fwd: Gala Progress by cmor
1
by jni
Gala training advice by cmor
12
by jni