This function calculates the individual Placido indices of corneal irregularity PI_1, PI_2, PI_3, SL, AR_1, AR_2, AR_3, AR_4, AR_5, the global index GLPI, and the Naive Bayes Index (NBI) (see references). It requires a dataset in the format given by the function readCornealTopography. The results include the values of the indices plus a diagnose, which is either "Irregular cornea", "Suspect cornea" or "Normal cornea", depending on the value of the global index GLPI.
A dataset containing data of a corneal topography, as read by readCornealTopography.
A dataset containg the aforementioned irregularity indices as well as the diagnose.
Castro-Luna, G. M., Martinez-Finkelshtein, A., Ramos-Lopez, D. (2019). Robust keratoconus detection with Bayesian network classifier for Placido-based corneal indices. Contact Lens and Anterior Eye, 43(4), 366-372.
Ramos-Lopez, D., Martinez-Finkelshtein, A., Castro-Luna, G. M., Burguera-Gimenez, N., Vega-Estrada, A., Pinero, D., & Alio, J. L. (2013). Screening subclinical keratoconus with placido-based corneal indices. Optometry and Vision Science, 90(4), 335-343.
Ramos-Lopez, D., Martinez-Finkelshtein, A., Castro-Luna, G. M., Pinero, D., & Alio', J. L. (2011). Placido-based indices of corneal irregularity. Optometry and Vision Science, 88(10), 1220-1231.
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