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- W2524379414 abstract "In this paper we propose a novel method for automatic detection of undifferentiated vs. differentiated colonies of iPS cells, which is able to achieve excellent accuracy of detection using only a few training images. Local patches in the images are represented through the responses of texture-layout filters over texton maps and learned using Random Forests. Additionally, we propose a novel method for probabilistic modeling of the information available at the leaves of the individual trees in the forest, based on the multivariate Polya distribution." @default.
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- W2524379414 date "2016-01-01" @default.
- W2524379414 modified "2023-09-23" @default.
- W2524379414 title "Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution" @default.
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- W2524379414 doi "https://doi.org/10.1007/978-3-319-46723-8_77" @default.
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