Deep Feature Learning for Contour Segmentation of Aorta's Intima by Using Sub-Micron-Resolution OCT
Journal
2019 IEEE International Conference on BioPhotonics, BioPhotonics 2019
Date Issued
2019
Author(s)
Chueh, K.-M.
Chen, H.H.
Calderon-Delgado, M.
Abstract
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.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Type
conference paper