3-D Density Kernel Estimation
Type
License/Openness
Description
3-D density kernel estimation (DKE-3-D) method, utilises an ensemble of random decision trees for counting objects in 3D images. DKE-3-D avoids the problem of discrete object identification and segmentation, common to many existing 3-D counting techniques, and outperforms other methods when quantification of densely packed and heterogeneous objects is desired.
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Post date
10/18/2018 - 12:18
Last modified
10/18/2018 - 12:26