Corneal graft failure: an update
JL Alio, A Montesel, F El Sayyad… - British Journal of …, 2021 - bjo.bmj.com
Corneal graft surgery is one of the most successful forms of human solid-tissue
transplantation, and nowadays, there is a worldwide expansion of the surgical volume of …
transplantation, and nowadays, there is a worldwide expansion of the surgical volume of …
Multidisease deep learning neural network for the diagnosis of corneal diseases
Purpose To report a multidisease deep learning diagnostic network (MDDN) of common
corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and …
corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and …
Automated delineation of corneal layers on OCT images using a boundary-guided CNN
Accurate segmentation of corneal layers depicted on optical coherence tomography (OCT)
images is very helpful for quantitatively assessing and diagnosing corneal diseases (eg …
images is very helpful for quantitatively assessing and diagnosing corneal diseases (eg …
Automated diagnosis and staging of Fuchs' endothelial cell corneal dystrophy using deep learning
Background To describe the diagnostic performance of a deep learning algorithm in
discriminating early-stage Fuchs' endothelial corneal dystrophy (FECD) without clinically …
discriminating early-stage Fuchs' endothelial corneal dystrophy (FECD) without clinically …
PIPE-Net: A pyramidal-input-parallel-encoding network for the segmentation of corneal layer interfaces in OCT images
A Elsawy, M Abdel-Mottaleb - Computers in Biology and Medicine, 2022 - Elsevier
Segmentation of corneal layer interfaces in optical coherence tomography (OCT) images is
necessary to generate thickness maps used for cornea diagnosis. In this paper, we propose …
necessary to generate thickness maps used for cornea diagnosis. In this paper, we propose …
EE-Net: An edge-enhanced deep learning network for jointly identifying corneal micro-layers from optical coherence tomography
Accurate delineation of the corneal micro-layers depicted on optical coherence tomography
(OCT) plays an important role in computerized detection and diagnosis of various corneal …
(OCT) plays an important role in computerized detection and diagnosis of various corneal …
A novel network with parallel resolution encoders for the diagnosis of corneal diseases
A Elsawy, M Abdel-Mottaleb - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: To propose a deep-learning network for the diagnosis of two corneal diseases:
Fuchs' endothlelial dystrophy and keratoconus, based on optical coherence tomography …
Fuchs' endothlelial dystrophy and keratoconus, based on optical coherence tomography …
Automatic segmentation of corneal microlayers on optical coherence tomography images
Purpose: To propose automatic segmentation algorithm (AUS) for corneal microlayers on
optical coherence tomography (OCT) images. Methods: Eighty-two corneal OCT scans were …
optical coherence tomography (OCT) images. Methods: Eighty-two corneal OCT scans were …
Main issues in penetrating keratoplasty
This review explores contemporary challenges in penetrating keratoplasty (PK), focusing on
technical intricacies, technological advancements, and strategies for preventing graft …
technical intricacies, technological advancements, and strategies for preventing graft …
Diagnostic performance of 3-dimensional thickness of the endothelium–descemet complex in Fuchs' endothelial cell corneal dystrophy
Purpose To describe the diagnostic accuracy of 3-dimensional (3D) endothelium–
Descemet's membrane complex thickness (En–DMT) in Fuchs' endothelial corneal …
Descemet's membrane complex thickness (En–DMT) in Fuchs' endothelial corneal …