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It contains pre-trained Deep-LC and Lean-LC variants of μSplit meta-architecture. Modified Hierarchical Variational Autoencoder architecture is used. Refer to the paper "μSplit: efficient image decomposition for microscopy data", https://arxiv.org/abs/2211.12872 for more details. The associated code hosted at https://github.com/juglab/uSplit should be used. Evaluation.ipynb computes the mean and stdev from the data and uses that to normalize the input before feeding it into the model.
Fluorescence microscopy, μSplit, Image decomposition, bioimage.io, Hierarchical Variational Autoencoders
Fluorescence microscopy, μSplit, Image decomposition, bioimage.io, Hierarchical Variational Autoencoders
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