Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey

IA Viedma, D Alonso-Caneiro, SA Read, MJ Collins - Neurocomputing, 2022 - Elsevier
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …

Applications of artificial intelligence and deep learning in glaucoma

D Chen, EA Ran, TF Tan… - The Asia-Pacific …, 2023 - journals.lww.com
Diagnosis and detection of progression of glaucoma remains challenging. Artificial
intelligence–based tools have the potential to improve and standardize the assessment of …

Ultrasound-induced reorientation for multi-angle optical coherence tomography

M Kvåle Løvmo, S Deng, S Moser, R Leitgeb… - Nature …, 2024 - nature.com
Organoid and spheroid technology provide valuable insights into developmental biology
and oncology. Optical coherence tomography (OCT) is a label-free technique that has …

Self-supervised speckle noise reduction of optical coherence tomography without clean data

Y Li, Y Fan, H Liao - Biomedical Optics Express, 2022 - opg.optica.org
Optical coherence tomography (OCT) is widely used in clinical diagnosis due to its non-
invasive, real-time, and high-resolution characteristics. However, the inherent speckle noise …

Noise transfer for unsupervised domain adaptation of retinal OCT images

V Koch, O Holmberg, H Spitzer, J Schiefelbein… - … Conference on Medical …, 2022 - Springer
Optical coherence tomography (OCT) imaging from different camera devices causes
challenging domain shifts and can cause a severe drop in accuracy for machine learning …

Sweat Gland Enhancement Method for Fingertip OCT Images Based on Generative Adversarial Network

Q Miao, H Wang, Y Zhang, R Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sweat pores are gaining recognition as a secure, reliable, and identifiable third-level
fingerprint feature. Challenges arise in collecting sweat pores when fingers are …

Applying a Pix2Pix generative adversarial network to a fourier-domain optical coherence tomography system for artifact elimination

CM Huang, E Wijanto, HC Cheng - IEEE Access, 2021 - ieeexplore.ieee.org
The presence of artifacts, including conjugate, DC, and auto-correlation artifacts, is a critical
limitation of Fourier-domain optical coherence tomography (FD-OCT). Many methods have …

Predicting plant growth and development using time-series images

C Wang, W Pan, X Song, H Yu, J Zhu, P Liu, X Li - Agronomy, 2022 - mdpi.com
Early prediction of the growth and development of plants is important for the intelligent
breeding process, yet accurate prediction and simulation of plant phenotypes is difficult. In …

[HTML][HTML] A review of generative adversarial network applications in optical coherence tomography image analysis

J Kugelman, D Alonso-Caneiro, SA Read… - Journal of Optometry, 2022 - Elsevier
Optical coherence tomography (OCT) has revolutionized ophthalmic clinical practice and
research, as a result of the high-resolution images that the method is able to capture in a …

Hybrid-structure network and network comparative study for deep-learning-based speckle-modulating optical coherence tomography

G Ni, R Wu, J Zhong, Y Chen, L Wan, Y Xie, J Mei… - Optics …, 2022 - opg.optica.org
Optical coherence tomography (OCT), a promising noninvasive bioimaging technique, can
resolve sample three-dimensional microstructures. However, speckle noise imposes …