Self-supervised transformer based non-local means despeckling of optical coherence tomography images-Reference-Cited by-同舟云学术

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Self-supervised transformer based non-local means despeckling of optical coherence tomography images

Published:2023-02 Issue: Volume:80 Page:104348
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhou Quan,Wen Mingwei,Yu Bin,Lou Cuijuan,Ding Mingyue,Zhang Xuming

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference36 articles.

1. Guided filtering-based nonlocal means despeckling of optical coherence tomography images;Zhou;Opt. Lett.,2020

2. Speckle-modulating optical coherence tomography in living mice and humans;Liba;Nat. Commun.,2017

3. Enhancing image denoising by controlling noise incursion in learned dictionaries;Sahoo;IEEE Signal Process. Lett.,2015

4. An image despeckling approach using quantum-inspired statistics in dual-tree complex wavelet domain;Fu;Biomed. Signal Process. Control.,2015

5. Speckle reduction of retinal optical coherence tomography based on contourlet shrinkage;Xu;Opt. Lett.,2013

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1. Toward Ground-Truth Optical Coherence Tomography via Three-Dimensional Unsupervised Deep Learning Processing and Data;IEEE Transactions on Medical Imaging;2024-06

2. Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning;IEEE Transactions on Medical Imaging;2024-06

3. Recent developments in denoising medical images using deep learning: An overview of models, techniques, and challenges;Micron;2024-05

4. Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review;Journal of Imaging;2024-04-01

5. Unpaired intra-operative OCT (iOCT) video super-resolution with contrastive learning;Biomedical Optics Express;2024-01-16

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