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Quantitative Phase Maps of Live Cells Classified By Transfer Learning and Generative Adversarial Network (GAN)

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Abstract

We suggest a new approach for classification of label-free quantitative phase maps of live cells using only a small training set, based on a combination between generative adversarial networks (GANs) and transfer learning.

© 2018 The Author(s)

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