Web demos CarioPyNet

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Source code: (1) (2) | Data: {1} | Related publications: [1] [2]

This tool takes the set of isolated chromosome images from a cell, performs the feature extraction and labeling and finally generates and shows the on-screen karyogram. A trained convolutional neural network is used for the characterization of the images, while an extreme learning machine is used for the classification stage. It requires a single zip file containing the 46 TIFF images (any file name), as in the provided example. The output of the system is a table with the chromosomes labelled; which is also downloadable as a PDF report.

Contact: Matias Gerard