This work focuses on the segmentation of axonal structures in digital images of organotypic slice co-cultures. An image processing chain is presented, which relies on anisotropic diffusion for preprocessing of the images and the intelligent scissors method for segmentation. This method requires manual user interaction to set the starting points. To overcome this drawback, the initial parameters for the intelligent scissors are automatically extracted from the images by a graph-based approach
An automatic method for accurately segmenting MRI images of axons would reduce the manpower required...
Abstract. Connectomics based on high resolution ssTEM imagery re-quires reconstruction of the neuron...
<p>(A) Original slice image. (B) Result of Alternate Sequential Filtering. (C) Detection of bundles ...
The morphology of neuronal axons has been actively investigated by researchers to understand functio...
We propose a method for the automatic segmentation, recognition and measurement of neuronal fibers i...
A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers i...
International audienceThe morphological analysis of axonal trees is an important problem in neurosci...
International audienceThe morphological analysis of axonal trees is an important problem in neurosci...
In neuroscientific research, image segmentation is one of the most important processes. The morphol-...
A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers i...
A human brain consists of billions of nerve cells (neurons) interconnected by their projection fiber...
This PhD dissertation is focused on the development of algorithms for the automatic segmentation of ...
This PhD dissertation is focused on the development of algorithms for the automatic segmentation of ...
An automatic method for accurately segmenting MRI images of axons would reduce the manpower required...
Segmentation of µm-resolution image data of irregularly shaped objects poses challenges to existing ...
An automatic method for accurately segmenting MRI images of axons would reduce the manpower required...
Abstract. Connectomics based on high resolution ssTEM imagery re-quires reconstruction of the neuron...
<p>(A) Original slice image. (B) Result of Alternate Sequential Filtering. (C) Detection of bundles ...
The morphology of neuronal axons has been actively investigated by researchers to understand functio...
We propose a method for the automatic segmentation, recognition and measurement of neuronal fibers i...
A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers i...
International audienceThe morphological analysis of axonal trees is an important problem in neurosci...
International audienceThe morphological analysis of axonal trees is an important problem in neurosci...
In neuroscientific research, image segmentation is one of the most important processes. The morphol-...
A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers i...
A human brain consists of billions of nerve cells (neurons) interconnected by their projection fiber...
This PhD dissertation is focused on the development of algorithms for the automatic segmentation of ...
This PhD dissertation is focused on the development of algorithms for the automatic segmentation of ...
An automatic method for accurately segmenting MRI images of axons would reduce the manpower required...
Segmentation of µm-resolution image data of irregularly shaped objects poses challenges to existing ...
An automatic method for accurately segmenting MRI images of axons would reduce the manpower required...
Abstract. Connectomics based on high resolution ssTEM imagery re-quires reconstruction of the neuron...
<p>(A) Original slice image. (B) Result of Alternate Sequential Filtering. (C) Detection of bundles ...