CA‐Unet++: An improved structure for medical CT scanning based on the Unet++ Architecture

B Li, F Wu, S Liu, J Tang, GH Li… - … Journal of Intelligent …, 2022 - Wiley Online Library
Currently, deep learning has become more and more mature in the field of medical image
segmentation. Through using the computer, the deep learning models established can …

Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review

H Ahmed, Q Zhang, R Donnan, A Alomainy - Journal of Imaging, 2024 - mdpi.com
Imaging from optical coherence tomography (OCT) is widely used for detecting retinal
diseases, localization of intra-retinal boundaries, etc. It is, however, degraded by speckle …

Automatic segmentation of hyperreflective foci in OCT images based on lightweight DBR network

J Wei, S Yu, Y Du, K Liu, Y Xu, X Xu - Journal of Digital Imaging, 2023 - Springer
Hyperreflective foci (HF) reflects inflammatory responses for fundus diseases such as
diabetic macular edema (DME), retina vein occlusion (RVO), and central serous …

Biometric technologies based on optical coherence tomography

T Marciniak - Sensors, 2023 - mdpi.com
Optical coherence tomography (OCT) is one of the newest and most important optical non-
invasive methods for the investigation and testing of various materials (eg, tissues) that are …

Transformer enhanced autoencoder rendering cleaning of noisy optical coherence tomography images

H Ahmed, Q Zhang, R Donnan… - Journal of Medical …, 2024 - spiedigitallibrary.org
Purpose Optical coherence tomography (OCT) is an emerging imaging tool in healthcare
with common applications in ophthalmology for detection of retinal diseases, as well as …

Unsupervised region-based denoising for optical coherence tomography framework

H Ahmed, Q Zhang, R Donnan… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Optical Coherence Tomography (OCT) is an emerging imaging tool that is now widely
adopted in various medical settings such as cardiology and ophthalmology and is emerging …

Attention Based Speckle Reduction for Optical Coherence Tomography in Ophthalmology and Dentistry

H Ahmed, Q Zhang, R Donnan… - 2022 15th International …, 2022 - ieeexplore.ieee.org
An emerging imaging tool in medical imaging is Optical Coherence Tomography (OCT) that
is widely implemented in multiple fields such as ophthalmology for detection of retinal …

Automated Classification of VMT Pathology from Optical Coherence Tomography B-scans

T Marciniak, A Stankiewicz - 2022 Signal Processing …, 2022 - ieeexplore.ieee.org
The research presented in this article aims to determine the possibility of identifying macular
pathologies from optical coherence tomography (OCT) images. Early detection of a …

Increase Channel Attention Based on Unet++ Architecture for Medical Images

F Wu, S Liu, B Li, J Tang - … Conference on Machine Learning for Cyber …, 2022 - Springer
At present, image segmentation technology has become increasingly mature. The
application of image segmentation technology in the field of medical images is also more …

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 …