Unravelling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review

M Nawaz, A Uvaliyev, K Bibi, H Wei, SMD Abaxi… - … Medical Imaging and …, 2023 - Elsevier
Abstract Optical Coherence Tomography (OCT) is an emerging technology that provides
three-dimensional images of the microanatomy of biological tissue in-vivo and at micrometer …

[HTML][HTML] Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function …

Y Meng, Y Zhang, J Xie, J Duan, M Joddrell… - Medical Image …, 2024 - Elsevier
Automated segmentation is a challenging task in medical image analysis that usually
requires a large amount of manually labeled data. However, most current supervised …

[HTML][HTML] A novel convolutional neural network for identification of retinal layers using sliced optical coherence tomography images

A Tulsani, J Patel, P Kumar, V Mayya, KC Pavithra… - Healthcare …, 2024 - Elsevier
Retinal imaging is crucial for observing the retina and accurately diagnosing pathological
problems. Optical Coherence Tomography (OCT) has been a transformative breakthrough …

Detecting Retinopathy from Optical Coherence Tomography Images Using a Novel Augmentation-based Semi-supervised Learning Approach

B Zheng, C Huang, Y Li, Z Zheng… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Optical coherence tomography (OCT) facilitates the diagnosis of retinal diseases with a non-
invasive and rapid imaging solution. When automatically detecting retinopathy in OCT …

Morphological changes in plasma-exposed poultry red mites (Dermanyssus gallinae) using high-resolution video camera and optical coherence tomography (OCT)

V Rüster, H Werner, G Avramidis, S Wieneke… - … and Applied Acarology, 2024 - Springer
Dermanyssus gallinae, the poultry red mite (PRM), is a hematophagous temporary
ectoparasite that causes serious economic losses and animal health impairment on laying …

Boundary-Repairing Dual-Path Network for Retinal Layer Segmentation in OCT Image with Pigment Epithelial Detachment

X Liu, X Li, Y Zhang, M Wang, J Yao, J Tang - Journal of Imaging …, 2024 - Springer
Automatic retinal layer segmentation in optical coherence tomography (OCT) images is
crucial for the diagnosis of ocular diseases. Currently, automatic retinal layer segmentation …

Joint Boundary-Enhanced and Topology-Preserving Dual-Path Network for Retinal Layer Segmentation in OCT Images with Pigment Epithelial Detachment

X Liu, X Li - Chinese Conference on Pattern Recognition and …, 2023 - Springer
Automatic retinal layer segmentation methods are currently successful in normal Optical
Coherence Tomography (OCT) images, but they face great challenges for eyes with Pigment …