Optical coherence tomography (OCT) is a cross‐sectional imaging method utilizing a low coherence interferometry. The lateral resolution of the OCT is limited by the numerical aperture (NA) of the imaging… Click to show full abstract
Optical coherence tomography (OCT) is a cross‐sectional imaging method utilizing a low coherence interferometry. The lateral resolution of the OCT is limited by the numerical aperture (NA) of the imaging lens. Using a high NA lens improves the lateral resolution but reduces the depth of focus (DOF). In this study, we propose a method to improve the lateral resolution of OCT images by end‐to‐end training of a deep 1‐D deconvolution network without use of high‐resolution images.
               
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