Article

CytoGAN: Generative Modeling of Cell Images

2017-12-02

Abstract excerpt

We explore the application of Generative Adversarial Networks to the domain of morphological profiling of human cultured cells imaged by fluorescence microscopy. When evaluated for their ability to group cell images responding to treatment by chemicals of known classes, we find that adversarially learned representations are superior to autoencoder-based approaches. While currently inferior to classical computer vi...

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Literature Corpus work: da73ada5-bfd1-58a4-ac26-50e3c1454975
DOI: 10.1101/227645

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