Literature DB >> 29193361

Automatic analysis of corneal nerves imaged using in vivo confocal microscopy.

Juno Kim1, Maria Markoulli1.   

Abstract

Interest has grown over the past decade in using in vivo confocal microscopy to analyse the morphology of corneal nerves and their changes over time. Advances in computational modelling techniques have been applied to automate the estimation of sub-basal nerve structure. These objective methods have the potential to quantify nerve density (and length), tortuosity, variations in nerve thickness, as well as temporal changes in nerve fibres such as migration patterns. Different approaches to automated nerve analysis, methods proposed and how they were validated in previous literature are reviewed. Improved understanding of these approaches and their limitations will help improve the diagnostic leverage of emerging developments for monitoring the onset and progression of a broad class of systemic diseases, including diabetes.
© 2017 Optometry Australia.

Entities:  

Keywords:  automatic analysis; corneal nerves; in vivo confocal microscopy

Mesh:

Year:  2017        PMID: 29193361     DOI: 10.1111/cxo.12640

Source DB:  PubMed          Journal:  Clin Exp Optom        ISSN: 0816-4622            Impact factor:   2.742


  11 in total

1.  Segmentation and Evaluation of Corneal Nerves and Dendritic Cells From In Vivo Confocal Microscopy Images Using Deep Learning.

Authors:  Md Asif Khan Setu; Stefan Schmidt; Gwen Musial; Michael E Stern; Philipp Steven
Journal:  Transl Vis Sci Technol       Date:  2022-06-01       Impact factor: 3.048

2.  Generative Adversarial Network Based Automatic Segmentation of Corneal Subbasal Nerves on In Vivo Confocal Microscopy Images.

Authors:  Erdost Yildiz; Abdullah Taha Arslan; Ayse Yildiz Tas; Ali Faik Acer; Sertaç Demir; Afsun Sahin; Duygun Erol Barkana
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

3.  Early Alterations of Corneal Subbasal Plexus in Uncomplicated Type 1 Diabetes Patients.

Authors:  Domenico Schiano Lomoriello; Irene Abicca; Mariacristina Parravano; Daniela Giannini; Benedetta Russo; Simona Frontoni; Fabiana Picconi
Journal:  J Ophthalmol       Date:  2019-07-02       Impact factor: 1.909

4.  An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.

Authors:  Bryan M Williams; Davide Borroni; Rongjun Liu; Yitian Zhao; Jiong Zhang; Jonathan Lim; Baikai Ma; Vito Romano; Hong Qi; Maryam Ferdousi; Ioannis N Petropoulos; Georgios Ponirakis; Stephen Kaye; Rayaz A Malik; Uazman Alam; Yalin Zheng
Journal:  Diabetologia       Date:  2019-11-12       Impact factor: 10.122

5.  Neurotrophic keratitis after penetrating keratoplasty for lattice dystrophy.

Authors:  Larissa Gouvea; Raphael Penatti; Karolinne Maia Rocha
Journal:  Am J Ophthalmol Case Rep       Date:  2021-02-26

Review 6.  Diabetic Corneal Neuropathy.

Authors:  Hassan Mansoor; Hong Chang Tan; Molly Tzu-Yu Lin; Jodhbir S Mehta; Yu-Chi Liu
Journal:  J Clin Med       Date:  2020-12-06       Impact factor: 4.241

7.  Impact of corneal parameters, refractive error and age on density and morphology of the subbasal nerve plexus fibers in healthy adults.

Authors:  Anna M Roszkowska; Adam Wylęgała; Romana Gargano; Rosaria Spinella; Leandro Inferrera; Bogusława Orzechowska-Wylęgała; Pasquale Aragona
Journal:  Sci Rep       Date:  2021-03-16       Impact factor: 4.379

8.  Assessing the corneal sub-basal nerve plexus by in vivo confocal microscopy in patients with blepharoptosis.

Authors:  Zhengwei Zhang; Shui Lu; Yunjia Jiang; Song Sun
Journal:  Ann Med       Date:  2022-12       Impact factor: 4.709

9.  Corneal in vivo Confocal Microscopy for Assessment of Non-Neurological Autoimmune Diseases: A Meta-Analysis.

Authors:  Yuxiang Gu; Xin Liu; Xiaoning Yu; Qiyu Qin; Naiji Yu; Weishaer Ke; Kaijun Wang; Min Chen
Journal:  Front Med (Lausanne)       Date:  2022-03-09

10.  3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus.

Authors:  Stephan Allgeier; Andreas Bartschat; Sebastian Bohn; Sabine Peschel; Klaus-Martin Reichert; Karsten Sperlich; Marcus Walckling; Veit Hagenmeyer; Ralf Mikut; Oliver Stachs; Bernd Köhler
Journal:  Sci Rep       Date:  2018-05-10       Impact factor: 4.379

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