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.
| Original language | English (US) |
|---|---|
| Article number | OF2E.3 |
| Journal | Optics InfoBase Conference Papers |
| State | Published - 2021 |
| Event | Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021 - Virtual, Online, United States Duration: Apr 12 2021 → Apr 16 2021 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Mechanics of Materials