The College of Engineering in Al-Nahrain University discusses the thesis of student ,Lubna Abdulkarim Abbas from the Department of Laser and Optoelectronics Engineering entitled “Design of a Smart Optical Microscope with a Mobile Application which Works with All Smartphones for Leukemia Detection.”
The thesis focuses on integrating advanced imaging techniques and artificial intelligence to develop a portable and cost-effective diagnostic system which aims for improving early leukemia detection.
The study aims for developing a specifically designed smartphone microscope equipped with an algorithm which depends on the artificial intelligence to classify the four major types of leukemia accurately: AML, ALL, CML, and CLL. The system is easily used, enabling the mobile application to capture images of blood samples, analyze them using a Convolutional Neural Network (CNN) model and display diagnostic results instantly.
The findings of thesis explain that the system’s success in presenting an accurate and early leukemia diagnoses, particularly in resource-limited areas and it is regarded as an advanced step in applying Artificial Intelligence and smartphone technology to improve healthcare services.
Keywords:
Al-Nahrain University, leukemia, smart microscope, artificial intelligence.