Spine classification based on kernel density estimation
Supported image dimension
We propose to use a kernel density estimation (KDE) based approach for classification. This non-parametric approach intrinsically provides the likelihood of membership for each class in a principled manner. The implementation was used in Ghani2016. Any papers using this code should cite Ghani2016 accordingly. The software has been tested under Matlab R2013b.
Sample Data: Annotated two-photon images of dendritic spines
has biological terms
02/13/2017 - 16:13
08/16/2018 - 17:46