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Part of the BestMasters book series (BEST)

Abstract

The results with the baseline SVM approach show that distinguishing between MEP and GMP using the morphology of the cells is possible. We achieve a good accuracy even though the time series is averaged for each feature to only a few time steps. However, the features had to be normalized by their mean and standard deviation of each movie separately, as not doing so lowers the AUC by about 10%. This procedure makes the features more robust.

Keywords

Cell Image Recurrent Neural Network Image Patch Unsupervised Approach Convolutional Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  1. 1.NeuherbergDeutschland

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