Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
A systematic collection of medical image datasets for deep learning
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …
that it can achieve human-like performance. However, success always comes with …
[HTML][HTML] ADC-net: an open-source deep learning network for automated dispersion compensation in optical coherence tomography
Chromatic dispersion is a common problem to degrade the system resolution in optical
coherence tomography (OCT). This study is to develop a deep learning network for …
coherence tomography (OCT). This study is to develop a deep learning network for …
R-UNet deep learning-based damage detection of CFRP with electrical impedance tomography
Y Cheng, W Fan - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Carbon fiber reinforced polymer (CFRP) with excellent properties is widely used in many
fields. During the production process and service life of CFRP-related products, CFRP may …
fields. During the production process and service life of CFRP-related products, CFRP may …
Speckle denoising of optical coherence tomography image using residual encoder–decoder CycleGAN
K Xie, M Luo, H Chen, M Yang, Y He, P Liao… - Signal, Image and Video …, 2023 - Springer
Optical coherence tomography (OCT) is a powerful technology for monitoring and
diagnosing eye diseases. However, speckle noise is not beneficial for improving OCT image …
diagnosing eye diseases. However, speckle noise is not beneficial for improving OCT image …
A lightweight swin transformer-based pipeline for optical coherence tomography image denoising in skin application
Optical coherence tomography (OCT) has attracted attention in dermatology applications for
skin disease characterization and diagnosis because it provides high-resolution (< 10 μm) of …
skin disease characterization and diagnosis because it provides high-resolution (< 10 μm) of …
Automatic segmentation of hyperreflective foci in OCT images based on lightweight DBR network
J Wei, S Yu, Y Du, K Liu, Y Xu, X Xu - Journal of Digital Imaging, 2023 - Springer
Hyperreflective foci (HF) reflects inflammatory responses for fundus diseases such as
diabetic macular edema (DME), retina vein occlusion (RVO), and central serous …
diabetic macular edema (DME), retina vein occlusion (RVO), and central serous …
SNR-Net OCT: brighten and denoise low-light optical coherence tomography images via deep learning
Low-light optical coherence tomography (OCT) images generated when using low input
power, low-quantum-efficiency detection units, low exposure time, or facing high-reflective …
power, low-quantum-efficiency detection units, low exposure time, or facing high-reflective …
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 …
A retinex based non-local total generalized variation framework for OCT image restoration
A retinex driven non-local total generalized variational (TGV) model is proposed in this
paper to restore and enhance speckled images. The combined first and second-order TGV …
paper to restore and enhance speckled images. The combined first and second-order TGV …