Deep learning-based RGB-thermal image denoising: review and applications

Y Yu, BG Lee, M Pike, Q Zhang, WY Chung - Multimedia Tools and …, 2024 - Springer
Recently, vision-based detection (VD) technology has been well-developed, and its general-
purpose object detection algorithms have been applied in various scenes. VD can be …

A review on texture-based methods for anomaly detection in retinal optical coherence tomography images

M Monemian, M Irajpour, H Rabbani - Optik, 2023 - Elsevier
Retina is an important body organ responsible for human vision. There are many important
retinal diseases which may damage the vision and even cause blindness. Optical …

Optimized convolution neural network based multiple eye disease detection

P Muthukannan - Computers in Biology and Medicine, 2022 - Elsevier
World health organization (WHO) reports around 2.2 billion people in the world as visually
challenged which is mostly due to the age-related eye diseases such as age-related …

Sensor network data denoising via recursive graph median filters

DB Tay - Signal Processing, 2021 - Elsevier
In wireless sensor networks (WSN) for environmental monitoring, the sensor nodes typically
have limited computational and communication resources. Furthermore, the sensors often …

Improved detection of dry age-related macular degeneration from optical coherence tomography images using adaptive window based feature extraction and …

M Sahoo, M Mitra, S Pal - Photodiagnosis and Photodynamic Therapy, 2023 - Elsevier
Abstract Background Dry Age-related macular degeneration (AMD), which affects the older
population, can lead to blindness when left untreated. Preventing vision loss in elderly …

Artificial Intelligence in Retinal Screening Using OCT Images: A Review of the Last Decade (2013-2023)

MH Akpinar, A Sengur, O Faust, L Tong… - Computer Methods and …, 2024 - Elsevier
Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …

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 …

Automatic segmentation and intuitive visualisation of the epiretinal membrane in 3D OCT images using deep convolutional approaches

M Gende, J De Moura, J Novo, P Charlón… - IEEE Access, 2021 - ieeexplore.ieee.org
Epiretinal Membrane (ERM) is a disease caused by a thin layer of scar tissue that is formed
on the surface of the retina. When this membrane appears over the macula, it can cause …

[HTML][HTML] BlurRes-UNet: A novel neural network for automated surface characterisation in metrology

W Cui, S Lou, W Zeng, V Kadirkamanathan, Y Qin… - Computers in …, 2025 - Elsevier
Surface characterisation is essential in metrology for precise measurement and analysis of
surface features, ensuring product quality and compliance with industry standards. Form …

[HTML][HTML] A COMPREHENSIVE REVIEW ON EARLY DETECTION OF DRUSEN PATTERNS IN AGE-RELATED MACULAR DEGENERATION USING DEEP LEARNING …

M Kiruthika, G Malathi - Photodiagnosis and Photodynamic Therapy, 2024 - Elsevier
ABSTRACT Age-related Macular Degeneration (AMD) is a leading cause of visual
impairment and blindness that affects the eye from the age of fifty-five and older. It impacts …