An Improved Semantic Segmentation Method for Retinal OCT Images Based on High-Resolution Network and Polarized Self-Attention Mechanism

W Fan, F Wang, R Zheng, X Wang - Proceedings of the 2024 4th …, 2024 - dl.acm.org
Optical Coherence Tomography (OCT) is an efficient, non-invasive imaging technique. It
operates by scanning ocular tissues with a laser beam and reconstructing cross-sectional …

Deep neural network regression for automated retinal layer segmentation in optical coherence tomography images

L Ngo, J Cha, JH Han - IEEE transactions on image processing, 2019 - ieeexplore.ieee.org
Segmenting the retinal layers in optical coherence tomography (OCT) images helps to
quantify the layer information in early diagnosis of retinal diseases, which are the main …

Automated layer segmentation of retinal optical coherence tomography images using a deep feature enhanced structured random forests classifier

X Liu, T Fu, Z Pan, D Liu, W Hu, J Liu… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is a high-resolution and noninvasive imaging modality
that has become one of the most prevalent techniques for ophthalmic diagnosis. Retinal …

[HTML][HTML] LOCTseg: A lightweight fully convolutional network for end-to-end optical coherence tomography segmentation

E Parra-Mora, LA da Silva Cruz - Computers in Biology and Medicine, 2022 - Elsevier
This article presents a novel end-to-end automatic solution for semantic segmentation of
optical coherence tomography (OCT) images. OCT is a non-invasive imaging technology …

LiDeOCTNet: A lightweight OCT-aware framework for segmentation of irregularly layered tissue structures

SMD Abaxi, M Nawaz, P Shi, H Wei, SA Abbasi… - Authorea …, 2023 - techrxiv.org
An automated and lightweight method to accurately segment optical coherence tomography
(OCT) images can bring a plethora of benefits, such as the production of objective diagnostic …

[HTML][HTML] OCT layer segmentation using U-Net semantic segmentation and RESNET34 encoder-decoder

K Yojana, LT Rani - Measurement: Sensors, 2023 - Elsevier
Abstract Images using OCT (Optical Coherence Tomography) for producing cross-sections
of images of retina light-sensitive tissue linings behind the human eye's black portions …

Retinal Layer Segmentation from Oct Images Using 2D-3D Hybrid Network with Multi-Scale Loss and Refinement Module

T Konno, T Ninomiya, K Miura, K Ito… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
We propose a method of segmenting retinal layers from optical coherence tomography
(OCT) images for the diagnosis. The proposed method estimates the pixel-wise labels of …

Automated retinal layer segmentation of OCT images using two-stage FCN and decision mask

Y Sun, Z Fu, S Stainton, S Barney… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is the standard method of generating high resolution
retinal images, which inform retinal disease diagnosis and guide management. However, in …

Automatic segmentation of retinal edema in optical coherence tomography based on deep neural networks

R Lu, L Wang, S Duan - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
A multi-task network framework based on convolutional neural networks improvements is
proposed for automatic segmentation and classification in three different lesion areas of …

A deep convolutional feature based learning layer-specific edges method for segmenting OCT image

T Fu, X Liu, D Liu, Z Yang - Ninth international conference on …, 2017 - spiedigitallibrary.org
Optical coherence tomography (OCT) is a high resolution and non-invasive imaging
modality that has become one of the most prevalent techniques for ophthalmic diagnostic …