Computer aided diagnoses for detecting the severity of Keratoconus

Computer aided diagnoses for detecting the severity of Keratoconus

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdullah, Osamah Qays, Boughariou, Aicha, Al-Azawi, Fadia W., Al-Araji, Ahmed Mohammed Khadum Abdulamer, Mehdy, Mehdy Mwaffeq
Format: Article
Language:English
Published: Walter de Gruyter 2024
Online Access: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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English

Internet

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

Similar Items