Abstract
The existence of noise and speckle in optical coherence tomography (OCT) images challenges the extraction of layer structures. As an effort to answer the challenges, an improved coherence enhancing diffusion (CED) algorithm for preprocessing OCT images is presented in this paper. The improved algorithm could keep the locality of layer structures in OCT images better, therefore, locality of layer structures could be detected with good accuracy in preprocessed OCT images. The locality of some specific layer structures found in preprocessed images could be used as the benchmark to optimize OCT images, the application in OCT images of retina is such an example. Experiment results show that the above optimization is clinical helpful.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
