A Novel Zernike Application to Differentiate Between Three-dimensional Corneal Thickness of Normal Corneas and Corneas With Keratoconus

Author:

Shetty Rohit,Matalia Himanshu,Srivatsa Purnima,Ghosh Arkasubhra,Dupps William J.,Sinha Roy Abhijit

Funder

National Eye Institute

Publisher

Elsevier BV

Subject

Ophthalmology

Reference22 articles.

1. Biomechanics of corneal ectasia and biomechanical treatments;Roberts;J Cataract Refract Surg,2014

2. Scheimpflug imaging for laser refractive surgery;Ambrósio;Curr Opin Ophthalmol,2013

3. Current keratoconus detection methods compared with a neural network approach;Smolek;Invest Ophthalmol Vis Sci,1997

4. CLMI: the cone location and magnitude index;Mahmoud;Cornea,2008

5. Expanding the cone location and magnitude index to include corneal thickness and posterior surface information for the detection of keratoconus;Mahmoud;Am J Ophthalmol,2013

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1. Fractional Zernike functions;Journal of Mathematical Analysis and Applications;2024-04

2. Artificial intelligence for detecting keratoconus;Cochrane Database of Systematic Reviews;2023-11-15

3. Pentacam findings after implantation of intrastromal corneal rings in keratoconus;Journal of Current Medical Research and Practice;2023

4. KeratoScreen: Early Keratoconus Classification With Zernike Polynomial Using Deep Learning;Cornea;2022-04-20

5. Accuracy of Machine Learning Assisted Detection of Keratoconus: A Systematic Review and Meta-Analysis;Journal of Clinical Medicine;2022-01-18

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