Quantitative phase maps of live cells classified by transfer learning and generative adversarial network (GAN)

Moran Rubin*, Omer Stein, Raja Giryes, Darina Roitshtain, Natan T. Shaked

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging, COSI 2018
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580446
DOIs
StatePublished - 2018
EventComputational Optical Sensing and Imaging, COSI 2018 - Orlando, United States
Duration: 25 Jun 201828 Jun 2018

Publication series

NameOptics InfoBase Conference Papers
VolumePart F99-COSI 2018
ISSN (Electronic)2162-2701

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2018
Country/TerritoryUnited States
CityOrlando
Period25/06/1828/06/18

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