Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal Diseases
SSJ Poh, JT Sia, MYT Yip, ASH Tsai, SY Lee… - Ophthalmology …, 2024 - Elsevier
Objective To review recent technological advancement in imaging, surgical visualization,
robotics technology, and the use of artificial intelligence in surgical vitreoretinal (VR) …
robotics technology, and the use of artificial intelligence in surgical vitreoretinal (VR) …
[HTML][HTML] Segmentation of preretinal space in optical coherence tomography images using deep neural networks
This paper proposes an efficient segmentation of the preretinal area between the inner
limiting membrane (ILM) and posterior cortical vitreous (PCV) of the human eye in an image …
limiting membrane (ILM) and posterior cortical vitreous (PCV) of the human eye in an image …
Prediction of vitreomacular traction syndrome outcomes with deep learning: A pilot study
E Usmani, S Bacchi, H Zhang… - European Journal …, 2024 - journals.sagepub.com
Purpose To investigate the potential of an Optical Coherence Tomography (OCT) based
Deep-Learning (DL) model in the prediction of Vitreomacular Traction (VMT) syndrome …
Deep-Learning (DL) model in the prediction of Vitreomacular Traction (VMT) syndrome …
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 …
pathologies from optical coherence tomography (OCT) images. Early detection of a …
Influence of OCT acquisition on fovea shape analysis in the parameterization applications
This article presents an analysis of the effect of three-dimensional orientation of the optical
coherence tomography (OCT) scan on the correctness of determination of parameters …
coherence tomography (OCT) scan on the correctness of determination of parameters …
Reliability of Fovea Features Measurement from 3D OCT Images for Monitoring Treatment Outcome
The research presented in this article aims to determine the reliability of fovea features
measurements from a 3D optical coherence tomography (OCT) images. Parameters …
measurements from a 3D optical coherence tomography (OCT) images. Parameters …