Gebiss: an ImageJ plugin for the specification of ground truth and the performance evaluation of 3D segmentation algorithms.

ABSTRACT:

Background

Image segmentation is a crucial step in quantitative microscopy that helps to define regions of tissues, cells or subcellular compartments. Depending on the degree of user interactions, segmentation methods can be divided into manual, automated or semi-automated approaches. 3D image stacks usually require automated methods due to their large number of optical sections. However, certain applications benefit from manual or semi-automated approaches. Scenarios include the quantification of 3D images with poor signal-to-noise ratios or the generation of so-called ground truth segmentations that are used to evaluate the accuracy of automated segmentation methods.

Results

We have developed Gebiss; an ImageJ plugin for the interactive segmentation, visualisation and quan

SUBMITTER: Kriston-Vizi J 

PROVIDER: S-EPMC3225128 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature