Robust keratoconus detection with Bayesian network classifier for Placido-based corneal indices-Reference-Cited by-同舟云学术

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Robust keratoconus detection with Bayesian network classifier for Placido-based corneal indices

Published:2020-08 Issue:4 Volume:43 Page:366-372
ISSN:1367-0484
Container-title:Contact Lens and Anterior Eye
language:en
Short-container-title:Contact Lens and Anterior Eye

Author:

Castro-Luna Gracia M.,Martínez-Finkelshtein Andrei,Ramos-López Darío

Funder

Junta de Andalucía

European Regional Development Fund

Publisher

Elsevier BV

Subject

Optometry,Ophthalmology,General Medicine

Reference38 articles.

1. A review of methods for measuring corneal topography;Mejía-Barbosa;Optomet Vision Sci,2001

2. Improved method for calculation of corneal topography for any photokeratoscope geometry;van Saarlos;Optomet Vision Sci,1991

3. A corneal topography algorithm that produces continuous curvature;Klein;Optomet Vision Sci,1992

4. A spline surface algorithm for reconstruction of corneal topography from a videokeratographic reflection pattern;Halstead;Optomet Vision Sci,1995

5. Corneal topography reconstruction algorithm that avoids the skew ray ambiguity and the skew ray error;Klein;Optomet Vision Sci,1997

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1. Utility of artificial intelligence in the diagnosis and management of keratoconus: a systematic review;Frontiers in Ophthalmology;2024-05-17

2. Artificial intelligence as diagnostic modality for keratoconus: A systematic review and meta-analysis;Journal of Taibah University Medical Sciences;2024-04

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

4. Keratoconus Diagnosis: From Fundamentals to Artificial Intelligence: A Systematic Narrative Review;Diagnostics;2023-08-21

5. Comparison of different corneal imaging modalities using artificial intelligence for diagnosis of keratoconus: a systematic review and meta-analysis;Graefe's Archive for Clinical and Experimental Ophthalmology;2023-07-07

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