A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
3D Segmentation of Neuronal Nuclei and Cell-Type Identification using Multi-channel Information
2021
Expert systems with applications
Analyzing images to accurately estimate the number of different cell types in the brain using automatic methods is a major objective in neuroscience. The automatic and selective detection and segmentation of neurons would be an important step in neuroanatomical studies. New method We present a method to improve the 3D reconstruction of neuronal nuclei that allows their segmentation, excluding the nuclei of non-neuronal cell types. Results We have tested the algorithm on stacks of images from
doi:10.1016/j.eswa.2021.115443
fatcat:uwp6rpzx2rhfpc2ric436mk6fe