2023
DOI: 10.1101/2023.08.25.554841
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Generative adversarial networks in cell microscopy for image augmentation. A systematic review

Duway Nicolas Lesmes-Leon,
Andreas Dengel,
Sheraz Ahmed

Abstract: Cell microscopy is the main tool that allows researchers to study microorganisms and plays a key role in observing and understanding the morphology, interactions, and development of microorganisms. However, there exist limitations in both the techniques and the samples that impair the amount of available data to study. Generative adversarial networks (GANs) are a deep learning alternative to alleviate the data availability limitation by generating nonexistent samples that resemble the probability distribution … Show more

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