Current Developments in Corneal Topography and Tomography [PDF]
Diagnostics, 2021 Introduction: Accurate assessment of the corneal shape is important in cataract and refractive surgery, both in screening of candidates as well as for analyzing postoperative outcomes.
Piotr Kanclerz +2 more
doaj +5 more sources
Diagnosability of Keratoconus Using Deep Learning With Placido Disk-Based Corneal Topography [PDF]
Frontiers in Medicine, 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 ...
Kazutaka Kamiya +5 more
doaj +3 more sources
Does Dry Eye Affect Repeatability of Corneal Topography Measurements? [PDF]
Türk Oftalmoloji Dergisi, 2018 Objectives: The purpose of this study was to assess the repeatability of corneal topography measurements in dry eye patients and healthy controls.
Aysun Şanal Doğan +2 more
doaj +3 more sources
Evaluation of the corneal topography based on deep learning [PDF]
Frontiers in Medicine, 2023 PurposeThe current study designed a unique type of corneal topography evaluation method based on deep learning and traditional image processing algorithms.
Shuai Xu +17 more
doaj +2 more sources
Effects of Upper Eyelid Surgery on the Ocular Surface and Corneal Topography [PDF]
Turk J Ophthalmol, 2022 Objectives: To evaluate the effect of upper eyelid surgery on ocular surface and corneal topography. Materials and Methods: Patients who underwent upper eyelid blepharoplasty and/or blepharoptosis repair were evaluated prospectively.
Aksu Ceylan N, Yeniad B.
europepmc +2 more sources
The repeatability of corneal topography measurements in severe Dry Eye disease [PDF]
BMC Ophthalmology, 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.
Soner Guven
doaj +2 more sources
Unsupervised learning for large-scale corneal topography clustering. [PDF]
Sci Rep, 2020 Machine learning algorithms have recently shown their precision and potential in many different use cases and fields of medicine. Most of the algorithms used are supervised and need a large quantity of labeled data to achieve high accuracy.
Zéboulon P +2 more
europepmc +2 more sources
3-Dimensional Mapping of Corneal Topography and Thickness [PDF]
arXiv, 2003 Optical sections of the cornea are obtained by illumination with a collimated beam expanded in a fan shape by a small rotary cylindrical lens. The light diffused from the cornea is observed by two cameras and processed in order to yield the surfaces' profiles.
José B. Almeida, Sandra Franco
arxiv +3 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
europepmc +2 more sources
Simultaneous Corneal Topography and Epithelial Thickness Mapping from a Single Measurement Using Optical Coherence Tomography [PDF]
Journal of Ophthalmology, 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 ...
Bartosz L. Sikorski
doaj +2 more sources