Master’s Thesis Defense – Noor Basim Khalaf

The Biomedical Engineering Department held the master’s thesis defense of Noor Basim Khalaf on Thursday, February 13, 2025, for her thesis titled:

"Automated Detection of Retinal Diseases from Optical Coherence Tomography Images Based on Artificial Intelligence Models"

Thesis Committee

The defense was conducted under the supervision of a distinguished panel:

• Prof. Dr. Ahmed Rasheed Ajeel – Middle Technical University / College of Electrical Engineering Technology / Department of Medical Device Engineering (Chair)
• Asst. Prof. Dr. Laheeb Mohammed Jawad – Al-Nahrain University / College of Information Engineering (Member)
• Dr. Sumer Ali Jaber – Al-Nahrain University / Biomedical Engineering (Member)

Supervisors

• Asst. Prof. Dr. Hadeel Qasim Wadi – Al-Nahrain University / Biomedical Engineering
• Dr. Mohammed Suhail Najm – Al-Mustansiriyah University / College of Medicine

Thesis Evaluation

• Scientific Reviewers:
  • Asst. Prof. Dr. Mohammed Sabah Jirjis – Northern Technical University / College of Engineering Technology
  • Asst. Prof. Dr. Israa Badr Nasser – Al-Nahrain University / College of Engineering
• Linguistic Review:
  • Dr. Alaa Ayed Jabr – Al-Nahrain University / Biomedical Engineering

Research Objective

This research aims to develop an intelligent system for detecting retinal diseases by analyzing Optical Coherence Tomography (OCT) images using Artificial Intelligence (AI) models. The system classifies retinal images into four main categories:

• DME (Diabetic Macular Edema)
• CNV (Choroidal Neovascularization)
• Drusen
• Normal

The AI-driven system is designed to assist ophthalmologists by enhancing diagnostic accuracy and efficiency, reducing the workload on Iraqi hospitals, and enabling rapid and effective diagnosis for a larger number of patients.

Conclusion

The thesis was approved, having met all the academic and research requirements for the Master’s degree.