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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 …
Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review
Background: Open Access Systematic Review Denoising of Optical Coherence Tomography
Images in Ophthalmology Using Deep Learning: A Systematic Review by Hanya Ahmed …
Images in Ophthalmology Using Deep Learning: A Systematic Review by Hanya Ahmed …
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 …
Employing texture loss to denoise OCT images using generative adversarial networks
OCT is a widely used clinical ophthalmic imaging technique, but the presence of speckle
noise can obscure important pathological features and hinder accurate segmentation. This …
noise can obscure important pathological features and hinder accurate segmentation. This …
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 …
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 …
Speckle denoising of optical coherence tomography image using residual encoder–decoder CycleGAN
K **e, 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 …
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 …
Deep learning segmentation of the tear fluid reservoir under the sclera lens in optical coherence tomography images
Y Zhou, G Lin, X Yu, Y Cao, H Cheng, C Shi… - Biomedical Optics …, 2023 - opg.optica.org
The tear fluid reservoir (TFR) under the sclera lens is a unique characteristic providing
optical neutralization of any aberrations from corneal irregularities. Anterior segment optical …
optical neutralization of any aberrations from corneal irregularities. Anterior segment optical …