Kaya, H.Çavusoglu, A.Çakmak, H.B.Sen, B.Çalik, E.2024-09-292024-09-292015978-012802646-5978-012802508-6https://doi.org/10.1016/B978-0-12-802508-6.00031-4https://hdl.handle.net/20.500.14619/9611Keratoconus is a corneal disease characterized by the progressive thinning and tapering of the cornea. Vision gradually decreases as the sphere-shaped cornea becomes more tapered and conical. With corneal cross-linking treatment, which increases the number of cross-links in the connective tissues of the corneal layers, the cornea hardens. The purpose of this chapter is to described the changes in the cornea between the processes before and after the cross-linking treatment. In this study, we used the Cropped Quad-Tree method as the cropping algorithm, Multilayer Perceptron and Logistic Regression methods to prepare the data set, and three-dimensional (3D) imaging methods to model the images in 3D form. With this application, it can be possible to follow up the healing process after the treatment and also monitor whether the treatment has achieved the desired results. This system was developed in order to support eye specialists in the disease diagnosis, treatment, and follow-up stages. It can be seen that the follow-up process of the disease by analyzing two-dimensional (2D) corneal images can be improved by using 3D images. © 2015 Elsevier Inc. All rights reserved.eninfo:eu-repo/semantics/closedAccessCross-linkingKeratoconusMedical diagnostic imagingMedical simulationBook Part10.1016/B978-0-12-802508-6.00031-42-s2.0-84944594668575N/A561