Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
377763 | Artificial Intelligence in Medicine | 2008 | 17 Pages |
Abstract
The results obtained are competitive with those in the literature. The method's generalization capability is reinforced when it is applied to a different image base from the one used in our study and a discrepancy curve is obtained very similar to the one obtained in our image base. In addition, the robustness of the method proposed can be seen in the high percentage of images obtained with a discrepancy δ < 5 (96% and 99% in our and a different image base, respectively). The results also confirm the hypothesis that the ONH contour can be properly approached with a non-deformable ellipse. Another important aspect of the method is that it directly provides the parameters characterising the shape of the papilla: lengths of its major and minor axes, its centre of location and its orientation with regard to the horizontal position.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Enrique J. Carmona, Mariano Rincón, Julián GarcÃa-Feijoó, José M. MartÃnez-de-la-Casa,