[HTML][HTML] The development and clinical application of innovative optical ophthalmic imaging techniques

P Alexopoulos, C Madu, G Wollstein… - Frontiers in …, 2022 - frontiersin.org
The field of ophthalmic imaging has grown substantially over the last years. Massive
improvements in image processing and computer hardware have allowed the emergence of …

Application of diffusion tensor imaging technology in glaucoma diagnosis

J Wang, Y Zhang, X Meng, G Liu - Frontiers in neuroscience, 2023 - frontiersin.org
Glaucoma is the first major category of irreversible blinding eye illnesses worldwide. Its
leading cause is the death of retinal ganglion cells and their axons, which results in the loss …

Octdl: Optical coherence tomography dataset for image-based deep learning methods

M Kulyabin, A Zhdanov, A Nikiforova, A Stepichev… - Scientific Data, 2024 - nature.com
Optical coherence tomography (OCT) is a non-invasive imaging technique with extensive
clinical applications in ophthalmology. OCT enables the visualization of the retinal layers …

[HTML][HTML] BCLA CLEAR Presbyopia: Evaluation and diagnosis

JS Wolffsohn, D Berkow, KY Chan… - Contact Lens and …, 2024 - Elsevier
It is important to be able to measure the range of clear focus in clinical practice to advise on
presbyopia correction techniques and to optimise the correction power. Both subjective and …

The OCT RNFL probability map and artifacts resembling glaucomatous damage

S La Bruna, A Rai, G Mao, J Kerr… - … Vision Science & …, 2022 - tvst.arvojournals.org
Purpose: The purpose of this study was to improve the diagnostic ability of the optical
coherence tomography (OCT) retinal nerve fiber layer (RNFL) probability (p-) map by …

[HTML][HTML] Medical application of geometric deep learning for the diagnosis of glaucoma

AH Thiéry, F Braeu, TA Tun, T Aung… - … Vision Science & …, 2023 - iovs.arvojournals.org
Purpose:(1) To assess the performance of geometric deep learning in diagnosing glaucoma
from a single optical coherence tomography (OCT) scan of the optic nerve head and (2) to …

Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation

PM Maloca, M Pfau, L Janeschitz‐Kriegl… - Journal of …, 2024 - Wiley Online Library
Supervised deep learning (DL) algorithms are highly dependent on training data for which
human graders are assigned, for example, for optical coherence tomography (OCT) image …

A generative adversarial network with multi-scale convolution and dilated convolution res-network for OCT retinal image despeckling

X Yu, M Li, C Ge, PP Shum, J Chen, L Liu - Biomedical Signal Processing …, 2023 - Elsevier
Optical coherence tomography (OCT) has been widely adopted for imaging in various areas,
yet it is largely affected by speckle noise generated from the coherent multiple-scattered …

[HTML][HTML] Longitudinal analysis of retinal ganglion cell damage at individual axon bundle level in mice using visible-light optical coherence tomography fibergraphy

M Grannonico, DA Miller, J Gao… - … Vision Science & …, 2023 - iovs.arvojournals.org
Purpose: We developed a new analytic tool based on visible-light optical coherence
tomography fibergraphy (vis-OCTF) to longitudinally track individual axon bundle …

Loss-balanced parallel decoding network for retinal fluid segmentation in OCT

X Yu, M Li, C Ge, M Yuan, L Liu, J Mo, PP Shum… - Computers in Biology …, 2023 - Elsevier
As a leading cause of blindness worldwide, macular edema (ME) is mainly determined by
sub-retinal fluid (SRF), intraretinal fluid (IRF), and pigment epithelial detachment (PED) …