Automatic markup of neural cell membranes using boosted decision stumps
Venkataraju, K.U.; Paiva, A.; Jurrus, E.; Tasdizen, T.
Biomedical Imaging: From Nano to Macro, 2009. ISBI apos;09. IEEE International Symposium on
Volume , Issue , June 28 2009-July 1 2009 Page(s):1039 - 1042
Digital Object Identifier   10.1109/ISBI.2009.5193233
Summary: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.

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