Automatic markup of neural cell membranes using boosted decision stumps | IEEE Conference Publication | IEEE Xplore

Automatic markup of neural cell membranes using boosted decision stumps


Abstract:

To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary...Show More

Abstract:

To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is to segment the individual neurons. For this purpose, we propose a supervised learning approach to detect the cell membranes. The classifier was trained using AdaBoost, on local and context features. The features were selected to highlight the line characteristics of cell membranes. It is shown that using features from context positions allows for more information to be utilized in the classification. Together with the nonlinear discrimination ability of the AdaBoost classifier, this results in clearly noticeable improvements over previously used methods.
Date of Conference: 28 June 2009 - 01 July 2009
Date Added to IEEE Xplore: 07 August 2009
ISBN Information:

ISSN Information:

Conference Location: Boston, MA, USA

References

References is not available for this document.