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Researchers apply deep learning to PS-OCT systems to better detect cancer

September 23, 2021

Yi “Edwin” Sun, a Ph.D. candidate in electrical and computer engineering at the University of Illinois Urbana-Champaign and member of the Beckman Institute’s Biophotonics Imaging Laboratory headed by Stephen Boppart, explored how deep learning methods can make polarization-sensitive optical coherence tomography, or PS-OCT, more cost-effective and better equipped to diagnose cancer in biological tissues.

The paper, titled “Synthetic polarization-sensitive optical coherence tomography by deep learning,” was published in npj Digital Medicine.

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