Cross-Platform Super-Resolution for Human Coronary Oct Imaging Using Deep Learning
Author:
Affiliation:
1. Stevens Insitute of Technology,Department of Biomedical Engineering,Hoboken,USA
2. The University of Alabama at Birmingham,School of Medicine,Birmingham,USA
3. Shanghai Jiao Tong University,Department of Electronic Engineering
Funder
National Science Foundation
Health Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635603.pdf?arnumber=10635603
Reference14 articles.
1. Optical Coherence Tomography
2. Optical coherence tomography imaging during percutaneous coronary intervention impacts physician decision-making: ILUMIEN I study
3. High signal-to-noise ratio reconstruction of low bit-depth optical coherence tomography using deep learning
4. Reconstruction of visible light optical coherence tomography images retrieved from discontinuous spectral data using a conditional generative adversarial network
5. N2NSR‐OCT : Simultaneous denoising and super‐resolution in optical coherence tomography images using semisupervised deep learning
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