A doctoral dissertation submitted by student Zainab Mohammed Jameel, specializing in Computer Science, was discussed at the Informatics Institute for Postgraduate Studies (IIPS) at the University of Information Technology and Communications (UoITC). The dissertation explored the application of artificial intelligence and deep learning techniques in the detection of lung cancer.

The dissertation was titled:
“A Proposed Continuous Deep Learning Approach for Lung Cancer Detection”

The dissertation aimed to develop a framework based on continual deep learning techniques for lung cancer detection using histopathological images, with a focus on addressing challenges related to data variability and scalability in medical imaging applications.

The study employed the deep neural network architecture ResNet50 to extract fine features and characteristics, contributing to high classification performance and advanced accuracy in detecting pathological lesions.

After an in-depth scientific discussion by the chairman and members of the discussion committee, the student was awarded a PhD degree with an EXCELLENT grade.