Computer aided diagnoses for detecting the severity of Keratoconus

• المؤلفون الرئيسيون: Abdullah, Osamah Qays, Boughariou, Aicha, Al-Azawi, Fadia W., Al-Araji, Ahmed Mohammed Khadum Abdulamer, Mehdy, Mehdy Mwaffeq
• التنسيق: مقال
• اللغة: English
• منشور في: Walter de Gruyter 2024
• الوصول للمادة أونلاين: http://psasir.upm.edu.my/id/eprint/114298/1/114298.pdf; http://psasir.upm.edu.my/id/eprint/114298/; https://www.degruyter.com/document/doi/10.1515/jisys-2024-0287/html

Problem: Corneal topography instruments have limited parameter constraints for calculating precise defect ratios on the basis of the cone base area of the anterior axial curvature map for patients with Keratoconus (KC). Aim: The aim of this study is to use thresholding-based segmentation and morphol...