Comparative Analysis of Machine Learning Approaches for the Early Diagnosis of Keratoconus

Author:

Subramanian P.,Ramesh G. P.,Parameshachari B. D.

Publisher

Springer Nature Singapore

Reference24 articles.

1. Sawaguchi S, Fukuchi T, Abe H, Kaiya T, Sugar J, Yue BY (1998) Three-dimensional scanning electron microscopic study of keratoconus corneas. Arch Ophthalmol 116(1):62–68

2. Takahashi A, Nakayasu K, Okisaka S, Kanai A (1990) Quantitative analysis of collagen fiber in keratoconus. Nippon Ganka Gakkai Zasshi 94(11):1068–1073

3. Shetty R, Sathyanarayanamoorthy A, Ramachandra RA, Arora V, Ghosh A, Srivatsa PR (2015) Attenuation of lysyl oxidase and collagen gene expression in keratoconus patient corneal epithelium corresponds to disease severity. Mol Vis 21:12–25

4. Sinjab MM (2012) Quick Guide to the Management of Keratoconus: A Systematic Step-by-Step Approach. Springer-Verlag, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21840-8

5. Accardo PA, Pensiero S (2002) Neural network-based system for early keratoconus detection from corneal topography. J Biomed Inform 35(3):151–159. https://doi.org/10.1016/s1532-0464(02)00513-0

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