DeepACSON automated segmentation of white matter in 3D electron microscopy
2021
Ali Abdollahzadeh | Ilya Belevich | Eija Jokitalo | Alejandra Sierra | Jussi Tohka
With DeepACSON, Abdollahzadeh et al. combines existing deep learning-based methods for semantic segmentation and a novel shape decomposition technique for the instance segmentation. The pipeline is used to segment low-resolution 3D-EM datasets allowing quantification of white matter morphology in large fields-of-view.
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