We propose a hierarchical segmentation procedure based on statistical learning and topology-preserving grouping. Edge probability maps are computed by a random ...

We propose a hierarchical segmentation procedure based on statistical learning and topology-preserving grouping. Edge probability maps are computed by a random ...

We propose a hierarchical segmentation procedure based on statistical learning and topology-preserving grouping. Edge probability maps are computed by a random ...

In this paper, we present a novel method that utilizes a hierarchical structure and boundary classification for 2D neuron segmentation. With a membrane ...

Three-dimensional electron-microscopic image stacks with almost isotropic resolution allow, for the first time, to determine the complete connection matrix ...

We propose a supervoxel merging method for segmenting 3D SBFSEM images of neuropil. All merging decisions are coupled in a graphical model.

Oct 21, 2011 · We describe a protocol for fully automated detection and segmentation of asymmetric, presumed excitatory, synapses in serial electron microscopy images

This paper presents a novel method that utilizes a hierarchical structure and boundary classification for 2D neuron segmentation through a watershed merge ...

Aug 20, 2013 · Abstract. We aim to improve segmentation through the use of machine learning tools during region agglomeration. We propose an.

In this paper, we focus on 2D neuron segmentation, which is suggested as a first step for 3D neuron reconstruction by the anisotropy of current EM image volumes ...