Deep Feature Learning for Contour Segmentation of Aorta's Intima by Using Sub-Micron-Resolution OCT

Deep learning algorithm is applied on the optical coherence tomographic images of the tunica intima of rat's aorta to segment its boundary. With the cellular resolution, an average boundary error of 0.49 um was achieved.