Cargando…
Analyzing Image Segmentation for Connectomics
Automatic image segmentation is critical to scale up electron microscope (EM) connectome reconstruction. To this end, segmentation competitions, such as CREMI and SNEMI, exist to help researchers evaluate segmentation algorithms with the goal of improving them. Because generating ground truth is tim...
Autores principales: | Plaza, Stephen M., Funke, Jan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243088/ https://www.ncbi.nlm.nih.gov/pubmed/30483069 http://dx.doi.org/10.3389/fncir.2018.00102 |
Ejemplares similares
-
NeuTu: Software for Collaborative, Large-Scale, Segmentation-Based Connectome Reconstruction
por: Zhao, Ting, et al.
Publicado: (2018) -
Crowdsourcing the creation of image segmentation algorithms for connectomics
por: Arganda-Carreras, Ignacio, et al.
Publicado: (2015) -
The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes
por: Gerhard, Stephan, et al.
Publicado: (2011) -
NeuroRetriever: Automatic Neuron Segmentation for Connectome Assembly
por: Shih, Chi-Tin, et al.
Publicado: (2021) -
neuPrint: An open access tool for EM connectomics
por: Plaza, Stephen M., et al.
Publicado: (2022)