@inproceedings{71ffa5e09ea34153a5f86e0ab4c4f120,
title = "Deep-learning-enabled polarization-sensitive optical coherence tomography (OCT)",
abstract = "A trained deep neural network generates computational polarization-sensitive contrast from OCT intensity images. The deep-learning-enabled images were evaluated based on the structural similarity with the ground truth.",
author = "Yi Sun and Jianfeng Wang and Jindou Shi and Boppart, {Stephen A.}",
note = "Publisher Copyright: {\textcopyright} 2021 The Author (s).; Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021 ; Conference date: 12-04-2021 Through 16-04-2021",
year = "2021",
language = "English (US)",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021",
}