[HTML][HTML] Deep learning for assessing the corneal endothelium from specular microscopy images up to 1 year after ultrathin-DSAEK surgery

JP Vigueras-Guillén, J van Rooij… - … vision science & …, 2020 - jov.arvojournals.org
Purpose: To present a fully automatic method to estimate the corneal endothelium
parameters from specular microscopy images and to use it to study a one-year follow-up …

A fully automated segmentation and morphometric parameter estimation system for assessing corneal endothelial cell images

JH Qu, XR Qin, RM Peng, GG Xiao, J Cheng… - American Journal of …, 2022 - Elsevier
Purpose To develop a fully automated segmentation and morphometric parameter
estimation system for assessing corneal endothelial cells from in vivo confocal microscopy …

[HTML][HTML] Automated image segmentation of the corneal endothelium in patients with Fuchs dystrophy

PS Shilpashree, KV Suresh, RR Sudhir… - … Vision Science & …, 2021 - iovs.arvojournals.org
Purpose: To perform segmentation of specular microscopy (SM) images of the corneal
endothelium for comparing average perimeter length (APL) between Fuchs endothelial …

[HTML][HTML] Assessing abnormal corneal endothelial cells from in vivo confocal microscopy images using a fully automated deep learning system

J Qu, X Qin, R Peng, G Xiao, S Gu, H Wang, J Hong - Eye and Vision, 2023 - Springer
Background The goal of this study is to develop a fully automated segmentation and
morphometric parameter estimation system for assessing abnormal corneal endothelial cells …

Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy images

JP Vigueras-Guillén, J van Rooij… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
The morphometric parameters of the corneal endothelium-cell density (ECD), cell size
variation (CV), and hexagonality (HEX)-provide clinically relevant information about the …

[HTML][HTML] Corneal pachymetry by AS-OCT after Descemet's membrane endothelial keratoplasty

FG Heslinga, RT Lucassen, MA van den Berg… - Scientific Reports, 2021 - nature.com
Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal
endothelial function, for example after Descemet's membrane endothelial keratoplasty …

Quantitative and qualitative evaluation of deep learning automatic segmentations of corneal endothelial cell images of reduced image quality obtained following …

N Joseph, C Kolluru, BAM Benetz… - Journal of Medical …, 2020 - spiedigitallibrary.org
We are developing automated analysis of corneal-endothelial-cell-layer, specular
microscopic images so as to determine quantitative biomarkers indicative of corneal health …

Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks

JP Vigueras-Guillén, HG Lemij… - Medical Imaging …, 2019 - spiedigitallibrary.org
In images of the corneal endothelium (CE) acquired by specular microscopy, endothelial
cells are commonly only visible in a part of the image due to varying contrast, mainly caused …

Mobile-CellNet: automatic segmentation of corneal endothelium using an efficient hybrid deep learning model

R Karmakar, SV Nooshabadi, AO Eghrari - Cornea, 2023 - journals.lww.com
Purpose: The corneal endothelium, the innermost layer of the human cornea, exhibits a
morphology of predominantly hexagonal cells. These endothelial cells are believed to have …

[HTML][HTML] Deep learning model for the detection of corneal edema before Descemet membrane endothelial keratoplasty on optical coherence tomography images

K Bitton, P Zéboulon, W Ghazal, M Rizk… - … Vision Science & …, 2022 - iovs.arvojournals.org
Purpose: Descemet membrane endothelial keratoplasty (DMEK) is the preferred method for
treating corneal endothelial dysfunction, such as Fuchs endothelial corneal dystrophy …