Artificial intelligence in OCT angiography

TT Hormel, TS Hwang, ST Bailey, DJ Wilson… - Progress in retinal and …, 2021 - Elsevier
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …

Clinically applicable deep learning for diagnosis and referral in retinal disease

J De Fauw, JR Ledsam, B Romera-Paredes… - Nature medicine, 2018 - nature.com
The volume and complexity of diagnostic imaging is increasing at a pace faster than the
availability of human expertise to interpret it. Artificial intelligence has shown great promise …

RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge

H Bogunović, F Venhuizen, S Klimscha… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Retinal swelling due to the accumulation of fluid is associated with the most vision-
threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of …

DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images

SK Devalla, PK Renukanand, BK Sreedhar… - Biomedical optics …, 2018 - opg.optica.org
Given that the neural and connective tissues of the optic nerve head (ONH) exhibit complex
morphological changes with the development and progression of glaucoma, their …

Performance evaluation of retinal oct fluid segmentation, detection, and generalization over variations of data sources

N Ndipenoch, A Miron, Y Li - IEEE Access, 2024 - ieeexplore.ieee.org
Retinal Optical Coherence Tomography (OCT) is a non-invasive cross-sectional scan of the
eye that provides qualitative 3D visualization of the retinal anatomy. It is used to study the …

[HTML][HTML] Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework

M Mahmoudabadbozchelou, M Caggioni… - Journal of …, 2021 - pubs.aip.org
In this work, we introduce a comprehensive machine-learning algorithm, namely, a
multifidelity neural network (MFNN) architecture for data-driven constitutive metamodeling of …

A deep ensemble learning-based CNN architecture for multiclass retinal fluid segmentation in oct images

M Rahil, BN Anoop, GN Girish, AR Kothari… - IEEE …, 2023 - ieeexplore.ieee.org
Retinal Fluids (fluid collections) develop because of the accumulation of fluid in the retina,
which may be caused by several retinal disorders, and can lead to loss of vision. Optical …

Fast optical coherence tomography angiography image acquisition and reconstruction pipeline for skin application

J Liao, S Yang, T Zhang, C Li, Z Huang - Biomedical Optics Express, 2023 - opg.optica.org
Traditional high-quality OCTA images require multi-repeated scans (eg, 4-8 repeats) in the
same position, which may cause the patient to be uncomfortable. We propose a deep …

RetFluidNet: Retinal fluid segmentation for SD-OCT images using convolutional neural network

LB Sappa, IP Okuwobi, M Li, Y Zhang, S **e… - Journal of Digital …, 2021 - Springer
Age-related macular degeneration (AMD) is one of the leading causes of irreversible
blindness and is characterized by fluid-related accumulations such as intra-retinal fluid …

[HTML][HTML] Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans

K Alsaih, MZ Yusoff, TB Tang, I Faye… - Computer methods and …, 2020 - Elsevier
Background and objectives: Aged people usually are more to be diagnosed with retinal
diseases in developed countries. Retinal capillaries leakage into the retina swells and …