Unsupervised Region-Based Denoising for Optical Coherence Tomography Framework-Reference-Cited by-同舟云学术

Unsupervised Region-Based Denoising for Optical Coherence Tomography Framework

Published:2022-06-24 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Computational Intelligence and Applications (ICCIA)
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Author:

Ahmed Hanya¹,Zhang Qianni¹,Donnan Robert²^ORCID,Alomainy Akram¹

Affiliation:

1. School of Electronic Engineering and Computer Science, Queen Mary University of London,London,United Kingdom

2. School of Engineering and Materials Science, Queen Mary University of London,London,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828375/9828407/09828454.pdf?arnumber=9828454

Reference26 articles.

1. High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

2. Deformed2Self: Self-supervised Denoising for Dynamic Medical Imaging

3. Unsupervised Denoising of Optical Coherence To-mography Images With Nonlocal-Generative Adversarial Network;guo;IEEE Transactions on Instrumentation and Measurement,2020

4. Comparative study of deep neural networks with unsupervised Noise2Noise strategy for noise reduction of optical coherence tomography images

5. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

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