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This work in progress shows a method for classifying dendritic spines by their shape. Focal points are the extraction of features from three-dimensional ...
This work in progress shows a method for classifying dendritic spines by their shape. Focal points are the ex- traction of features from three-dimensional ...
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This pipeline offers extensive visual and tabulated data outputs, including detailed morphological and spatial metrics, dendritic spine classification, and 3D ...
Apr 23, 2008 · We introduce a novel system for automated detection, shape analysis and classification of dendritic spines from laser scanning microscopy (LSM) images
Missing: Self- Organizing Maps.
This work in progress shows a method for classifying dendritic spines by their shape. Focal points are the extraction of features from three-dimensional ...
A very important and ingenious application of unsupervised learning are the so-called Kohonen networks (Teuvo Kohonen, a class of self-organizing mappings (SOM ...
DeepD3 a versatile tool for quantification of dendritic spines in microscopy data. A, Maximum intensity projection of the benchmark dataset, a 3D image stack of ...
Various forms of the self-organizing map (SOM) have been proposed as models of cortical development [Choe Y., Miikkulainen R., (2004).
Jun 8, 2024 · Dendritic spines are the main sites for synaptic communication in neurons, and alterations in their density, size, and shapes occur in many ...
The standard Self-Organizing Map consists of a two-dimensional rectangular grid of neurons. For many applications this represents a very good target to ...