Classification of 3-D Dendritic Spines using Self-Organizing Maps
G Sommerkorn¹, U Seiffert¹, D Surmeli¹… - Artificial Neural Nets …, 1998 - books.google.com
This work in progress shows a method for classifying dendritic spines by their shape. Focal
points are the extraction of features from three-dimensional spine data and the following
classification of the spines. Hence there will be only little reflection of biological aspects of
this problem. Feature extraction based on moments and spherical coordinates will be
discussed. Furthermore, this paper shows and describes a modified kind of self organizing
maps (SOM)), which is used for the classification of the dendritic spines.
points are the extraction of features from three-dimensional spine data and the following
classification of the spines. Hence there will be only little reflection of biological aspects of
this problem. Feature extraction based on moments and spherical coordinates will be
discussed. Furthermore, this paper shows and describes a modified kind of self organizing
maps (SOM)), which is used for the classification of the dendritic spines.
Classification of 3-D Dendritic Spines using Self-Organizing Maps
GD Smith, NC Steele, RF Albrecht… - Artificial Neural Nets and …, 1998 - Springer
This work in progress shows a method for classifying dendritic spines by their shape. Focal
points are the extraction of features from three-dimensional spine data and the following
classification of the spines. Hence there will be only little reflection of biological aspects of
this problem. Feature extraction based on moments and spherical coordinates will be
discussed. Furthermore, this paper shows and describes a modified kind of self organizing
maps (SOM)), which is used for the classification of the dendritic spines.
points are the extraction of features from three-dimensional spine data and the following
classification of the spines. Hence there will be only little reflection of biological aspects of
this problem. Feature extraction based on moments and spherical coordinates will be
discussed. Furthermore, this paper shows and describes a modified kind of self organizing
maps (SOM)), which is used for the classification of the dendritic spines.
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