Support Tools for the Presumptive Diagnosis of Glaucoma As well as to Determine the Degree of Condition of Keratoconus as Detection Methods Prevention and Care of the Human Eye

General objective Carry out the digital processing of images of the eye in order to characterize various parameters that contribute to an early presumptive diagnosis of glaucoma and, on the other hand, to determine the degree of keratoconus involvement in order to take the proper prevention and control. Justification It is for this reason that the simulation and modeling of the human eye seeks to have an analysis method that provides greater and better precision in terms of early detection and prevention, as well as providing a presumptive diagnosis that allows treatment and control of these. diseases in a timely manner.