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Self-supervised blind2unblind deep learning scheme for oct speckle reductions
As a low-coherence interferometry-based imaging modality, optical coherence tomography
(OCT) inevitably suffers from the influence of speckles originating from multiply scattered …
(OCT) inevitably suffers from the influence of speckles originating from multiply scattered …
Live 4D-OCT denoising with self-supervised deep learning
By providing three-dimensional visualization of tissues and instruments at high resolution,
live volumetric optical coherence tomography (4D-OCT) has the potential to revolutionize …
live volumetric optical coherence tomography (4D-OCT) has the potential to revolutionize …
A multi-scale fusion and transformer based registration guided speckle noise reduction for OCT images
Optical coherence tomography (OCT) images are inevitably affected by speckle noise
because OCT is based on low-coherence interference. Multi-frame averaging is one of the …
because OCT is based on low-coherence interference. Multi-frame averaging is one of the …
Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography images
Purpose Optical coherence tomography (OCT) is a noninvasive, high-resolution imaging
modality capable of providing both cross-sectional and three-dimensional images of tissue …
modality capable of providing both cross-sectional and three-dimensional images of tissue …
Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image
C Ge, X Yu, M Yuan, Z Fan, J Chen… - Biomedical Optics …, 2024 - opg.optica.org
Optical coherence tomography (OCT) inevitably suffers from the influence of speckles
originating from multiple scattered photons owing to its low-coherence interferometry …
originating from multiple scattered photons owing to its low-coherence interferometry …
[PDF][PDF] GPU-accelerated OCT imaging: Real-time data processing and artifact suppression for enhanced monitoring of 3D bioprinted tissues and vascular-like …
S Yang, J Zhou, H Guo, L Wang, M Xu - Journal of Innovative …, 2024 - researching.cn
Optical coherence tomography (OCT) is a noninvasive, high-resolution, high-sensitivity and
threedimensional (3D) imaging modality, which is widely used for clinical diagnosis and …
threedimensional (3D) imaging modality, which is widely used for clinical diagnosis and …
Denoising in optical coherence tomography volumes for improved 3D visualization
L Jovanov, W Philips - Optics Express, 2024 - opg.optica.org
Optical coherence tomography (OCT) has already become one of the most important
diagnostic tools in different fields of medicine, as well as in various industrial applications …
diagnostic tools in different fields of medicine, as well as in various industrial applications …
Local Self-Similar Solution of ADMM for Denoising of Retinal OCT Images
In this article, an incorporation of stochastic differential equation (SDE), and geometrical
characteristics is applied to develop a mixture model of symmetric-stable () distributions for …
characteristics is applied to develop a mixture model of symmetric-stable () distributions for …
Hybrid-structure network and network comparative study for deep-learning-based speckle-modulating optical coherence tomography
Optical coherence tomography (OCT), a promising noninvasive bioimaging technique, can
resolve sample three-dimensional microstructures. However, speckle noise imposes …
resolve sample three-dimensional microstructures. However, speckle noise imposes …
Effective deep learning approach to denoise optical coherence tomography images using BM3D-based preprocessing of the training data including both healthy and …
P Bogacki, A Dziech - IEEE Access, 2023 - ieeexplore.ieee.org
Retinal diseases are significant cause of visual impairment globally. In the worst case they
may lead to severe vision loss or blindness. Accurate diagnosis is a key factor in the right …
may lead to severe vision loss or blindness. Accurate diagnosis is a key factor in the right …