The repeatability of corneal topography measurements in severe Dry Eye disease. [PDF]
BMC Ophthalmol, 2022 Background To determine the repeatability of corneal topography measurements in severe dry eye disease (DED). A comparison of corneal topography parameters between severe DED and healthy subjects was a secondary goal of this study.
Guven S.
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Surface Topography and Mechanical Strain Promote Keratocyte Phenotype and Extracellular Matrix Formation in a Biomimetic 3D Corneal Model [PDF]
Advanced Healthcare Materials, 2016 The optimal functionality of the native corneal stroma is mainly dependent on the well‐ordered arrangement of extracellular matrix (ECM) and the pressurized structure.
Wei Zhang +4 more
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Diagnosability of Keratoconus Using Deep Learning With Placido Disk-Based Corneal Topography. [PDF]
Front Med (Lausanne), 2021 Purpose: Placido disk-based corneal topography is still most commonly used in daily practice. This study was aimed to evaluate the diagnosability of keratoconus using deep learning of a color-coded map with Placido disk-based corneal topography. Methods:
Kamiya K +5 more
europepmc +2 more sources
Effects of rigid gas permeable contact lens on morphological parameters and vision-related quality of life in keratoconus patients [PDF]
International Journal of Ophthalmology, 2022 AIM: To evaluate the effect of rigid gas permeable contact lens (RGP-CL) on corneal morphological parameters and vision-related quality of life in keratoconus (KC) patients.
Yue Xu, Yun Wang, Xiao-Feng Zhang
doaj +1 more source
Accelerated Corneal Collagen Cross-Linking Using Topography-Guided UV-A Energy Emission: Preliminary Clinical and Morphological Outcomes [PDF]
Journal of Ophthalmology, 2016 Purpose. To assess the clinical and morphological outcomes of topography-guided accelerated corneal cross-linking. Design. Retrospective case series. Methods. 21 eyes of 20 patients with progressive keratoconus were enrolled.
Cosimo Mazzotta +5 more
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Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image [PDF]
Biomolecules, 2022 Corneal diseases are the most common eye disorders. Deep learning techniques are used to perform automated diagnoses of cornea. Deep learning networks require large-scale annotated datasets, which is conceded as a weakness of deep learning. In this work,
S. Jameel +6 more
semanticscholar +1 more source
Simultaneous Corneal Topography and Epithelial Thickness Mapping from a Single Measurement Using Optical Coherence Tomography. [PDF]
J Ophthalmol, 2022 Purpose. To evaluate the performance of corneal epithelial thickness mapping (ETM) and demonstrate simultaneous measurement of ETMs and corneal topography using REVO NX (Optopol Technology, Zawiercie, Poland)—an OCT device for anterior and posterior ...
Sikorski BL.
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Effect of congenital ptosis correction on corneal topography- A prospective study.
Indian J Ophthalmol, 2021 Purpose: The aim of this study was to evaluate the changes in corneal topography, cycloplegic refraction, and best-corrected visual acuity (BCVA) after ptosis correction surgery in patients with congenital ptosis.
Assadi FA +4 more
europepmc +2 more sources
Keratoconus Screening Based on Deep Learning Approach of Corneal Topography. [PDF]
Transl Vis Sci Technol, 2020 Purpose To develop and compare deep learning (DL) algorithms to detect keratoconus on the basis of corneal topography and validate with visualization methods.
Kuo BI +9 more
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