GAN-based OCT Image Quality Enhancement: Mapping from Low Quality Cirrus OCT to High Quality EDI OCT-Reference-Cited by-同舟云学术

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GAN-based OCT Image Quality Enhancement: Mapping from Low Quality Cirrus OCT to High Quality EDI OCT

Published:2023-12-14 Issue: Volume: Page:1277-1281
ISSN:
Container-title:2023 IEEE 20th India Council International Conference (INDICON)
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Author:

Ujjwal Dasari Shree¹,Kumar Vupparaboina Kiran²,Ibrahim Mohammed Nasar²,Rasheed Mohammed Abdul³,Kurakula Shiva Vaishnavi⁴,Sahel José-Alain²,Chhablani Jay²,Jana Soumya¹,Bollepalli Sandeep Chandra²

Affiliation:

1. Indian Institute of Technology,Deptartment Of Electrical Engineering,Hyderabad,Telangana,India

2. University of Pittsburgh School of Medicine,Department of Ophthalmology,Pennsylvania,USA

3. University of Waterloo,School of Optometry and Vision Science,Canada

4. Nova Scotia Health Authority,Senior Clinical Informatics Analyst,Halifax,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440722/10440669/10440843.pdf?arnumber=10440843

Reference18 articles.

1. Introduction to Optical Coherence Tomography

2. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

3. Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation

4. Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network

5. Optical coherence tomography retinal image reconstruction via nonlocal weighted sparse representation

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