Journal of Intelligent Systems (Oct 2024)

Computer aided diagnoses for detecting the severity of Keratoconus

  • Abdullah Osamah Qays,
  • Boughariou Aicha,
  • Al-Azawi Fadia W.,
  • Al-Araji Ahmed Mohammed Khadum Abdulamer,
  • Mehdy Mehdy Mwaffeq

DOI
https://doi.org/10.1515/jisys-2024-0287
Journal volume & issue
Vol. 33, no. 1
pp. 189 – 95

Abstract

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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).

Keywords